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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">IJAR</journal-id>
      <journal-title-group>
        <journal-title>Indonesian Journal of Advanced Research</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2986-0768</issn>
      <publisher>
        <publisher-name>Formosa Publisher</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.55927/ijar.v4i9.15406</article-id>
      <title-group>
        <article-title>Digital Work Culture in the Era of Society 5.0: An Observational Case Study in the Higher Education Administrative Environment</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Simbolon</surname>
            <given-names>Dedi Holden</given-names>
          </name>
          <aff>Magister Pendidikan Dasar, Universitas Quality</aff>
          <email>dedi.holden@universitasquality.ac.id</email>
        </contrib>
      </contrib-group>
      <pub-date pub-type="epub">
        <day>26</day>
        <month>09</month>
        <year>2025</year>
      </pub-date>
      <history>
        <date date-type="received">
          <day>11</day>
          <month>08</month>
          <year>2025</year>
        </date>
        <date date-type="rev-recd">
          <day>25</day>
          <month>08</month>
          <year>2025</year>
        </date>
        <date date-type="accepted">
          <day>26</day>
          <month>09</month>
          <year>2025</year>
        </date>
      </history>
      <volume>4</volume>
      <issue>9</issue>
      <fpage>2033</fpage>
      <lpage>2046</lpage>
      <abstract>
        <p>
          This study investigates the digital work culture within the administrative environment of Universitas Quality through an observational case study on the implementation of integrated systems including Q-Enterprise, Q-Layanan, Q-Skripsi, Q-Kinerja, Q-Course, and Q-Tracer. The findings indicate that these digital systems have significantly enhanced efficiency, transparency, and accountability in administrative workflows. However, challenges persist, particularly in the form of cultural resistance, limited two-way interaction, and low levels of engagement in self-directed learning. These findings highlight the critical importance of inclusive digital leadership, cross-generational digital literacy development, and reflective, data-driven evaluation mechanisms. The study recommends the advancement of adaptive and human-centered digital systems to support the transformation of organizational work culture in the context of Society 5.0.
        </p>
      </abstract>
      <kwd-group>
        <kwd>Digital Work Culture</kwd>
        <kwd>Higher Education Administration</kwd>
        <kwd>Digital Transformation</kwd>
        <kwd>Digital Leadership</kwd>
        <kwd>Society 5.0</kwd>
      </kwd-group>
      <permissions>
        <license>
          <ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">http://creativecommons.org/licenses/by/4.0/</ali:license_ref>
          <license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License.</license-p>
        </license>
      </permissions>
    </article-meta>
  </front>
<body>
<sec id="introduction">
  <title>INTRODUCTION</title>
  <p>The rapid development of digital technology over the past two
  decades has brought about significant changes across various sectors,
  including higher education. The concept of Society 5.0, first
  introduced by the Japanese government, emerged as a response to the
  fast-paced progress of the Fourth Industrial Revolution. While the
  Industrial Revolution 4.0 emphasized automation and digital
  integration, Society 5.0 seeks to go further by placing humans at the
  center of innovation and technological application, aiming for overall
  social well-being (Hamedani et al., 2024).</p>
  <p>In the context of higher education, Society 5.0 demands
  comprehensive transformation—not only in pedagogical approaches, but
  also in institutional governance systems, including the prevailing
  work processes and organizational culture. One of the primary
  challenges facing higher education institutions today is not merely
  the availability of digital infrastructure, but the capacity of human
  resources to integrate technology into an efficient, collaborative,
  and adaptive work culture (Yarasi &amp; Ozturkki, 2022).</p>
  <p>Digital work culture has thus become a central concept in
  organizational transformation in this era. It not only reflects the
  use of digital tools to complete tasks, but also encompasses the
  mindset, values, norms, and collective behaviors that support the
  utilization of technology in the workplace (Ivanov, 2023). In higher
  education settings, this culture manifests in the digitalization of
  administrative services, adoption of academic management platforms,
  use of collaborative applications such as e-office systems, and
  openness to digital innovation.</p>
  <p>Nevertheless, digital transformation in higher education
  institutions often encounters significant challenges. Various studies
  have identified a gap between technological availability and the
  readiness of organizational culture. For example, online academic
  systems are frequently implemented without sufficient staff training
  or strong leadership support (Fernández et al., 2023). Additionally,
  resistance to change, rigid bureaucratic workflows, and weak
  interdepartmental communication are among the key obstacles in
  cultivating an effective digital work culture (Maisan Falah et al.,
  2025).</p>
  <p>In this context, transforming work culture in the digital era
  requires institutional leaders to play a strategic role in fostering a
  work ecosystem that supports digital innovation. Digital leadership
  involves more than technical competency in managing information
  systems; it also requires the ability to instill values of
  collaboration, openness, and continuous learning among staff members
  (Jing, 2025). Leaders must also ensure that technological change does
  not marginalize the human aspect of work— echoing the spirit of
  Society 5.0, which emphasizes the integration of technology with
  social values.</p>
  <p>While numerous studies have examined digital transformation in
  higher education, most have focused on technological or policy
  aspects. In contrast, research that explores how digital work culture
  is actually formed and practiced—particularly within higher education
  administration—remains limited. This is despite the fact that
  administrative units serve as the backbone of institutional
  operations, and their workflows are strongly influenced by the
  dynamics of organizational culture.</p>
  <p>In this regard, direct observation of digital work practices is a
  relevant approach to understanding the lived reality of work culture.
  Through observation, researchers can capture day-to-day interactions
  among staff, actual use of digital tools, and responses to
  institutional digital policies. Such data is contextual, concrete, and
  capable of portraying the dynamics of work culture in greater
  depth.</p>
  <p>Accordingly, this study aims to provide an in-depth exploration of
  digital work culture within the administrative environment of a higher
  education institution. Using an observational case study approach,
  this research maps how administrative staff interpret and engage in
  digitally mediated work processes, including the challenges and
  opportunities they encounter in adapting to the demands of Society
  5.0. The study focuses on staff interactions with academic information
  systems (SIAKAD), utilization of online collaboration platforms,
  patterns of digital communication between units, and the role of
  leadership in shaping a conducive digital work culture.</p>
  <p>The findings of this study are expected to contribute both
  theoretically and practically to the effort of building a digital work
  culture that is not only efficient, but also inclusive and
  human-centered. Furthermore, the results may serve as a reference for
  policymakers and university leaders in designing digital
  transformation strategies grounded in an authentic understanding of
  institutional work culture.</p>
</sec>
<sec id="literature-review">
  <title>LITERATURE REVIEW</title>
  <sec id="work-culture-in-the-context-of-higher-education-institutions">
    <title>Work Culture in the Context of Higher Education
    Institutions</title>
    <p>Organizational work culture refers to the values, norms, and
    collective behaviors that evolve within a work environment. In
    higher education institutions, work culture not only reflects the
    efficiency and performance of administrative staff but also serves
    as a strategic factor in supporting the academic mission and
    institutional governance. Schein (2017) emphasizes that
    organizational culture is shaped through shared experiences and
    transmitted via social interaction. In universities, work culture is
    deeply influenced by bureaucratic structures, institutional
    leadership, and prevailing academic-administrative norms (Hamedani
    et al., 2024).</p>
    <p>Indicators of a healthy work culture in higher education include
    openness to innovation, cross-unit collaboration, professional
    responsibility, and effective internal communication. When these
    indicators are underdeveloped, technological adoption often fails to
    translate into meaningful transformation (Akman et al., 2024).</p>
  </sec>
  <sec id="digitalization-of-higher-education-administration">
    <title>Digitalization of Higher Education Administration</title>
    <p>Administrative digitalization refers to the integration of
    information technology into core administrative functions such as
    finance, human resources, academic services, and document
    management. Systems such as Enterprise Resource Planning (ERP),
    Academic Information Systems (SIAKAD), Learning Management Systems
    (LMS), and e-office platforms form the backbone of digital service
    transformation in education. According to Fernández et al. (2023),
    while digitalization enhances efficiency and transparency, its
    success largely depends on an organization's readiness to embrace a
    digital culture.</p>
    <p>Digital transformation cannot be achieved merely by providing
    hardware and software; it also requires cultural adaptation, human
    resource training, and adjustments to organizational structures to
    support flexibility and digital collaboration (Ivanov, 2023). In
    developing countries, infrastructure limitations, digital literacy
    gaps, and bureaucratic rigidity remain dominant barriers (Maisan
    Falah et al., 2025).</p>
  </sec>
  <sec id="digital-work-culture">
    <title>Digital Work Culture</title>
    <p>Digital work culture refers to the value systems and work
    practices that utilize digital technologies to support operational
    processes, communication, and collaboration. This culture emphasizes
    flexibility, agility, openness to digital learning, and cloud-based
    collaboration (Azra et al., 2025). Key characteristics of digital
    work culture include: (1) Adaptation to online systems and digital
    tools; (2) Capability to work remotely or in hybrid formats; (3) Use
    of technology for data-informed decision making; and (4) Real- time,
    integrated communication across work units.</p>
    <p>Digital work culture is not solely about technology usage but
    also about how technology shapes behavior, expectations, and
    employee work ethics. Ivanov (2023) argues that organizations that
    successfully adopt a digital culture are characterized by
    collaborative, autonomous, and outcome-oriented practices.</p>
  </sec>
  <sec id="leadership-and-cultural-change-in-the-digital-era">
    <title>Leadership and Cultural Change in the Digital Era</title>
    <p>Digital leadership plays a critical role in orchestrating
    cultural transformation in the digital era. Jing (2025) notes that
    successful academic leaders are those who can align institutional
    digital visions with practical implementation. This involves
    designing digital transformation policies, mentoring staff, and
    fostering ecosystems that encourage continuous learning and
    innovation.</p>
    <p>The importance of leadership in facilitating cultural change is
    also highlighted by Yarasi and Özturkii (2022), who assert that the
    transition to Society 5.0 requires not only technological adoption
    but also the ability of leaders to cultivate a spirit of digital
    collaboration throughout all levels of the organization.</p>
  </sec>
  <sec id="society-5.0-and-its-implications-for-organizational-culture-in-higher-education">
    <title>Society 5.0 and Its Implications for Organizational Culture
    in Higher Education</title>
    <p>Society 5.0 is a new social paradigm that emphasizes the use of
    intelligent technologies such as Artificial Intelligence (AI), the
    Internet of Things (IoT), and Big Data to enhance inclusive social
    well-being. In higher education, this paradigm encourages the
    transformation of institutional management toward a more responsive,
    human-centered, and data-driven model (Hamedani et al., 2024).</p>
    <p>The direct implications for work culture include an increased
    demand for rapid service delivery, transparency in information
    access, and active participation from all stakeholders in the
    university’s digital ecosystem. However, the implementation of
    Society 5.0 across higher education systems globally still faces
    significant challenges such as technological access disparity, rigid
    bureaucratic structures, and a shortage of digitally prepared human
    resources (Fernández et al., 2023).</p>
  </sec>
  <sec id="case-study-and-observational-approaches-in-work-culture-research">
    <title>Case Study and Observational Approaches in Work Culture
    Research</title>
    <p>Research on work culture is often conducted using qualitative
    approaches, which allow researchers to capture the complexities of
    social realities. Observational case study approaches are
    particularly relevant as they provide concrete portrayals of
    day-to-day practices, interpersonal relationships, and the dynamics
    of technology adoption in university administrative settings
    (Creswell &amp; Poth, 2018).</p>
    <p>Observational studies help uncover both explicit and implicit
    work practices, including cultural barriers that may not emerge in
    surveys or interviews. This approach offers an authentic depiction
    of how digital work culture is experienced, interpreted, and
    embodied by organizational actors in their specific contexts.</p>
  </sec>
</sec>
<sec id="research-methodology">
  <title>RESEARCH METHODOLOGY</title>
  <p>This study employed a qualitative approach with an observational
  case study design, as its primary focus was to explore in depth the
  phenomenon of digital work culture as it naturally occurs within the
  administrative environment of a higher education institution. This
  approach allowed the researcher to capture social reality as it
  unfolds, particularly regarding how technology is integrated into
  daily work practices and how employees adapt to digital changes
  (Creswell &amp; Poth, 2018). A case study design was selected because
  it enables the exploration of complex analytical units within a
  specific and bounded context, which aligned with the characteristics
  of the research setting (Yin, 2018).</p>
  <p>The subjects of this study consisted of administrative staff and
  academic service unit leaders at Universitas Quality, where academic
  governance has been systematically digitized. The site was selected
  purposively, based on the consideration that the institution had
  implemented a digital-based academic management system for at least
  the past two years and had actively used Academic Information Systems
  (SIAKAD) and online collaboration platforms to support administrative
  operations.</p>
  <p>Data were collected through non-participant observation and
  reflective field notes. The researcher directly observed work
  activities within administrative offices during regular working hours.
  The focus of observation included: patterns of digital interaction
  among staff, the use of software and applications to complete
  administrative tasks, online communication habits across units, and
  responses to technological constraints and adaptation challenges.
  Observational data were recorded in systematic field logs and
  supported by limited visual documentation (e.g., workspace layouts,
  digital team structures, and system records), while adhering to
  ethical principles and institutional approval protocols.</p>
  <p>The primary instrument used in this study was a structured
  observation sheet, developed based on indicators of digital work
  culture from Ivanov (2023) and Azra et al. (2025). The instrument
  comprised five key dimensions: (1) digital literacy and competency of
  staff, (2) intensity of collaboration through digital platforms, (3)
  adaptation to digital academic management systems, (4) dynamics of
  technology-based internal communication, and (5) cultural barriers or
  resistance to digital transformation.</p>
  <p>Each dimension was elaborated into measurable qualitative behavior
  indicators, accompanied by narrative columns for descriptive notes
  from direct observation.</p>
  <p>Data analysis followed the interactive model of Miles, Huberman,
  and Saldaña (2019), consisting of three main stages: data reduction,
  data display, and conclusion drawing. Observational data were reduced
  into core themes consistent with the digital work culture framework.
  Data were then presented in descriptive narratives and thematic
  matrices to identify work patterns, inconsistencies, and emerging
  cultural dynamics. Open coding and thematic categorization were
  performed using NVivo 14 qualitative analysis software to enhance
  consistency and reliability of findings.</p>
  <p>To ensure the validity and credibility of the data, triangulation
  by time and location was applied—observations were conducted during
  different working hours and across various academic service units. An
  audit trail was maintained for the entire process of data collection
  and analysis. The researcher also engaged in critical reflection to
  minimize personal bias during observation and conducted limited member
  checking with unit leaders to confirm the interpretation and accuracy
  of the observational narratives.</p>
  <p>This study was conducted in accordance with ethical principles in
  social research. Formal approval was obtained from the institution,
  the anonymity and confidentiality of observed individuals were
  ensured, and all relevant parties were informed that the research
  results would be used solely for academic and scholarly development
  purposes. This commitment ensured that the research process was not
  only methodologically sound, but also ethically and socially
  legitimate.</p>
</sec>
<sec id="research-results">
  <title>RESEARCH RESULTS</title>
  <p>This study reveals that Universitas Quality has successfully
  developed a systemic digital work culture through the integration of
  various internal platforms, including Q-Enterprise, Q-Layanan,
  Q-Skripsi, Q-Kinerja, Q-Course, Q-Tracer, and the Student Portal. The
  implementation of these applications has not only improved
  administrative efficiency but also shaped employees’ mindsets, values,
  and social interactions—both among staff and between the institution
  and students. A two-week observation indicated that digital systems
  had replaced the majority of conventional processes, although cultural
  adaptation dynamics remain a significant challenge in this
  transformation.</p>
  <p>One of the most notable findings was the function of Q-Enterprise
  as the central digital administrative control system. All
  administrative staff, both functional and managerial, utilized
  individual accounts and passwords to access the platform, dispatch
  official memos, manage document workflows, and monitor task progress.
  This created a work culture based on digital accountability, as all
  actions were traceable via system logs. Nevertheless, some senior
  staff continued to print digital documents as physical backups,
  signaling that the shift toward a fully paperless culture had yet to
  be fully internalized. This is in line with Antonopoulou’s (2023)
  findings, which emphasize that while digital transformation enhances
  efficiency and transparency, long-standing bureaucratic habits and
  individual resistance often hinder meaningful cultural change in
  higher education institutions.</p>
  <p>Meanwhile, Q-Layanan and the Student Portal have become the
  backbone of digital services for students and alumni. Services such as
  active enrollment letters, academic leave requests, and diploma
  legalization are accessed via a ticketing system, eliminating the need
  for in-person visits. The service process is rapid, with response
  times ranging from 4 to 12 hours and more than 78% of tickets
  completed within a single working day. However, the interaction
  remains largely one-directional—staff respond to tickets without
  providing open dialog channels. This phenomenon echoes findings by
  Fernández et al. (2023), who observed that in many online academic
  service systems, efficiency is often not accompanied by meaningful
  interpersonal interaction between users and administrative
  personnel.</p>
  <p>Furthermore, the Q-Skripsi platform plays a vital role in
  facilitating academic collaboration among students, supervisors,
  examiners, department heads, deans, and the university leadership.
  Processes such as proposal submissions, supervision logs, revisions,
  and thesis evaluations are managed digitally, allowing stakeholders to
  access students' progress and academic history in real time. This
  fosters a transparent and participative academic culture, wherein
  interactions are no longer constrained by physical space or time. Jing
  (2025) supports this view, stating that digital academic leadership,
  supported by collaborative systems, can broaden participation and
  optimize quality assurance processes in academia.</p>
  <p>From a managerial perspective, Q-Kinerja serves as a primary tool
  in shaping a performance-oriented work culture. Staff members are
  required to plan quarterly targets, document their achievements, and
  upload supporting evidence through the platform. Approximately 78% of
  staff actively update their performance documentation. However, many
  still complete the forms shortly before deadlines, indicating that the
  system is often perceived as a bureaucratic requirement rather than a
  reflective professional development tool. Díaz-García et al. (2023)
  assert that digital performance evaluation systems are only effective
  when supported by a reflective culture and consistent two-way
  feedback—not merely formal reporting.</p>
  <p>The implementation of Q-Course reflects the university’s effort to
  foster a culture of self-directed learning. This platform offers
  cross-disciplinary online modules aimed at enhancing the knowledge and
  skills of students, lecturers, and administrative staff. Observation
  revealed active student participation, particularly in courses related
  to communication and digital literacy. However, the engagement level
  of administrative staff remains low, suggesting that a sustainable
  learning culture has yet to take root among non-academic employees.
  This aligns with Echtenbruck et al. (2025), who emphasize that
  cultivating a digital learning culture requires more than just access
  to technology—it must begin with the internalization of learning needs
  and motivation.</p>
  <p>Finally, Q-Tracer is utilized for alumni tracking (tracer studies),
  serving as a foundation for curriculum evaluation and program
  relevance. Alumni submit data that is monitored and analyzed
  periodically by the student affairs office. While participation levels
  fluctuate, this system reflects a shift toward longitudinal,
  data-driven institutional evaluation, moving beyond annual narrative
  reports. Bravo-Jaico et al. (2025) note that</p>
  <p>the ability to digitally manage and integrate alumni data is one of
  the hallmarks of digital maturity in higher education
  institutions.</p>
  <p>In conclusion, the findings of this study confirm that Universitas
  Quality has succeeded in building a digital work culture ecosystem
  that goes beyond technological transformation. It has encouraged
  transparency, accountability, and performance orientation within the
  institution. Nevertheless, the full internalization of digital
  culture—particularly in terms of reflective learning, meaningful
  two-way communication, and cross-generational digital literacy—remains
  a critical challenge. Addressing this requires a strategy of
  continuous training, inclusive digital leadership, and organizational
  commitment to cultural adaptation.</p>
</sec>
<sec id="discussion">
  <title>DISCUSSION</title>
  <p>The findings of this study indicate that Universitas Quality has
  successfully established a digital work culture through the
  integration of comprehensive internal platforms such as Q-Enterprise,
  Q-Layanan, Q-Skripsi, Q-Kinerja, Q-Course, Q-Tracer, and the Student
  Portal. This transformation has led to a significant shift in
  administrative workflows, moving from paper-based to fully digital and
  automated systems. A central strength of this digital infrastructure
  lies in its emphasis on personal accountability, wherein all
  administrative staff, faculty, and academic leaders use individual
  accounts and passwords to access the system and log their activities.
  This practice aligns with Serpa et al. (2022), who affirm that
  accountability is a key element of a robust digital culture in higher
  education institutions, as it fosters transparency and individual
  responsibility through systematically recorded actions enabled by
  digital technology.</p>
  <p>However, cultural transformation is not solely dictated by
  technology but by the readiness and adaptability of the individuals
  using it. While the majority of younger employees have adopted digital
  systems optimally, a portion of senior staff continue to print digital
  documents as physical backups. This reflects cultural resistance to
  change, a phenomenon also noted by Antonopoulou (2023), who asserts
  that transitioning to a digital work culture requires leadership
  intervention that addresses not only structural but also cultural
  dimensions. Shifting work behavior—especially among employees long
  accustomed to conventional practices—remains a major challenge that
  necessitates sustained training and mentoring strategies.</p>
  <p>Meanwhile, Q-Layanan and the Student Portal have made a tangible
  contribution to the improvement of academic service efficiency.
  Requests for official letters, document legalization, and alumni
  services are now processed online, with average response times ranging
  from 4 to 12 hours, and over 78% of cases completed within one working
  day. These achievements reflect a mature digital service system
  approaching public-sector technology standards. However, the study
  also reveals limitations in two-way communication between students and
  administrative staff. Students often find it difficult to engage in
  dynamic dialogue, as the ticketing system supports only one-way
  interactions. This is consistent with the findings of Fernández et al.
  (2023), who argue that although digitalization can enhance the speed
  and accessibility of services, the quality of</p>
  <p>interpersonal communication may deteriorate if systems are not
  designed with participatory and responsive principles in mind.</p>
  <p>The Q-Skripsi platform exemplifies a transformation toward more
  transparent and collaborative academic governance. This system enables
  students, supervisors, examiners, program heads, and deans to access
  real-time updates on thesis progress. Features such as supervision
  logs and automated notifications reinforce the practice of digital
  academic leadership, in which all academic stakeholders are actively
  involved in the supervision and assessment process. This model aligns
  with Jing (2025), who notes that the use of digital systems in
  academic processes not only improves efficiency but also strengthens
  academic accountability and broadens participation in data-informed
  decision-making.</p>
  <p>In terms of performance management, the Q-Kinerja application
  serves as the primary medium for fostering a performance-based work
  culture. Staff members are required to develop quarterly work plans,
  record their accomplishments, and upload supporting evidence. This
  shifts the perception of performance from physical presence to output
  quality. However, the study found that many employees perceive the
  system as a mere administrative obligation, as evidenced by the
  tendency to update entries close to submission deadlines. This
  suggests that a reflective work culture has yet to be fully
  established. Díaz-García et al. (2023) emphasize that digital
  performance systems succeed only when they are supported by a culture
  of reflection, collaboration, and participatory evaluation, rather
  than being treated as formal reporting mechanisms.</p>
  <p>In addition to management systems, Universitas Quality is also
  working to build a culture of digital learning through Q-Course. This
  platform provides various online courses, ranging from digital
  literacy to communication skills. Students show high levels of
  participation, particularly in courses related to technology and soft
  skills. However, participation among administrative staff remains
  limited, indicating that a culture of continuous learning has not yet
  been fully adopted across institutional units. Echtenbruck et al.
  (2025) assert that developing a digital learning culture requires
  organizational support through formal recognition of learning
  outcomes, integration into incentive systems, and institutional
  reinforcement of digital literacy. This suggests that the mere
  availability of a learning platform does not guarantee a learning
  culture without a systematic and strategic institutional effort.</p>
  <p>Furthermore, Q-Tracer offers a new approach to longitudinal alumni
  evaluation. Although alumni participation varies, the system has
  enabled the university to gain deeper insights into curriculum
  relevance, industry needs, and graduate outcomes. Bravo-Jaico et al.
  (2025) emphasize that digital maturity in higher education includes
  the ability to use alumni tracer data effectively for strategic
  planning and quality assurance. As such, Q-Tracer is not merely a data
  collection tool, but a foundational component of a responsive,
  outcome-based curriculum development process.</p>
  <p>Theoretically, these findings resonate with the framework of
  sociomateriality, as introduced by Orlikowski (2000), which posits
  that technology and work practices are dynamically interwoven and
  mutually constitutive. In the context of Universitas Quality,</p>
  <p>digital technology is not merely a supporting tool, but an integral
  component of identity formation, interaction patterns, and
  decision-making processes. Moreover, according to the digital
  transformation maturity model proposed by Singun (2025), Universitas
  Quality can be categorized as having reached an intermediate to
  advanced stage of maturity, particularly in governance, service
  delivery, and evaluation systems. However, further development is
  still required in fostering a reflective work culture, inclusive
  leadership across generations, and a sustainable institutional
  learning environment.</p>
</sec>
<sec id="conclusion">
  <title>CONCLUSION</title>
  <p>This study reveals that Universitas Quality has successfully
  established and implemented a systemic digital work culture through
  the utilization of various internal platforms such as Q-Enterprise,
  Q-Layanan, Q-Skripsi, Q-Kinerja, Q-Course, and Q-Tracer. The
  integration of these digital platforms has contributed significantly
  to improving administrative efficiency, process transparency,
  individual accountability, and the enhancement of academic services
  and institutional governance.</p>
  <p>The digital systems have enabled staff and academic communities to
  access information, report activities, and complete tasks in real
  time, supported by features such as historical logs, tracking
  mechanisms, and personalized account authorization. The prevailing
  work culture is now more oriented toward performance-based outcomes,
  responsive service delivery, and data-driven planning and evaluation.
  These findings align with the principles of digital maturity in higher
  education, which emphasize the importance of integrating technology,
  organizational culture, and digital leadership.</p>
  <p>Nevertheless, certain challenges remain, including cultural
  resistance among some staff, limited internal reflection within
  performance systems, and low participation in digital learning,
  particularly among non-academic personnel. Moreover, two-way
  communication between digital service systems and users requires
  improvement to ensure that digital efficiency aligns with relational
  quality and institutional communication standards.</p>
</sec>
<sec id="recommendation">
  <title>RECOMMENDATION</title>
  <p>Based on the study findings and supporting literature, the
  following recommendations are proposed to further strengthen and
  refine the digital work culture at Universitas Quality:</p>
  <list list-type="order">
    <list-item>
      <p>Strengthening Cross-Generational Digital Literacy</p>
    </list-item>
  </list>
  <disp-quote>
    <p>The university should provide regular digital literacy training,
    particularly for senior staff who tend to exhibit resistance toward
    paperless systems. Hands-on, practice-oriented training would be
    more effective in building confidence and competence.</p>
  </disp-quote>
  <list list-type="order">
    <list-item>
      <label>2.</label>
      <p>Integrating Feedback and Reflection into Performance
      Systems</p>
    </list-item>
  </list>
  <disp-quote>
    <p>Q-Kinerja should include reflective features or discussion forums
    that allow staff to evaluate their work processes beyond
    administrative reporting. A reflection- based performance evaluation
    system can foster organizational learning and continuous
    improvement.</p>
  </disp-quote>
  <list list-type="order">
    <list-item>
      <label>3.</label>
      <p>Developing Inclusive Digital Leadership</p>
    </list-item>
  </list>
  <disp-quote>
    <p>Academic and structural leaders must act as facilitators of
    digital transformation, not merely evaluators. Cross-unit engagement
    and open communication are essential to fostering a collaborative
    and innovative institutional culture.</p>
  </disp-quote>
  <list list-type="order">
    <list-item>
      <label>4.</label>
      <p>Improving Two-Way Communication in Digital Services</p>
    </list-item>
  </list>
  <disp-quote>
    <p>Platforms such as Q-Layanan and Q-Skripsi should be enhanced with
    interactive discussion or live chat features to facilitate real-time
    clarification and dialogue between staff and users
    (students/faculty).</p>
  </disp-quote>
  <list list-type="order">
    <list-item>
      <label>5.</label>
      <p>Incentivizing Self-Directed Digital Learning</p>
    </list-item>
  </list>
  <disp-quote>
    <p>The university should recognize and reward staff participation in
    Q-Course, through professional development certificates or SKP
    (performance credit) points. This would encourage the growth of a
    lifelong learning culture across all institutional levels.</p>
  </disp-quote>
  <list list-type="order">
    <list-item>
      <label>6.</label>
      <p>Utilizing Tracer Data for Program and Curriculum Evaluation</p>
    </list-item>
  </list>
  <disp-quote>
    <p>Data from Q-Tracer should be fully integrated into study program
    and academic unit evaluations to ensure that tracer studies inform
    strategic decision-making, not merely serve as data collection
    exercises.</p>
  </disp-quote>
</sec>
<sec id="advanced-research">
  <title>ADVANCED RESEARCH</title>
  <p>The findings of this study demonstrate that the digital work
  culture transformation within the administrative environment of
  Universitas Quality has progressed systemically through the
  implementation of integrated applications such as Q-Enterprise,
  Q-Layanan, Q-Skripsi, Q-Kinerja, Q-Course, and Q-Tracer. While
  efficiency, transparency, and accountability have been significantly
  enhanced, observational data also reveal persistent cultural
  challenges, generational disparities in digital literacy, and limited
  participation in self-directed learning. These findings open promising
  avenues for further research that can expand both the academic
  discourse and practical implementation of digital work culture in
  higher education, especially in navigating the complex demands of the
  Society 5.0 era.</p>
  <p>One promising direction for future research involves the
  development of a transformational digital leadership model in higher
  education—one that promotes inclusive and adaptive technology
  integration. Such leadership is expected to go beyond administrative
  functions by serving as a visionary and transformative force in
  cultivating collaborative and innovative organizational cultures.
  Subsequent studies should also investigate the process of
  cross-generational digital culture adaptation, as field data indicate
  clear gaps in attitudes and competencies between senior and junior
  staff. Longitudinal studies could be conducted to trace the evolution
  of digital work culture over time and examine how training and
  motivation influence behavioral changes in digital practices.</p>
  <p>Moreover, the limited two-way communication between administrative
  staff and system users (students and faculty) in platforms such as
  Q-Layanan suggests the need for further inquiry into the effectiveness
  of digital communication in academic service</p>
  <p>systems—particularly from a user experience (UX) and system design
  perspective. This study also encourages further investigation into the
  effectiveness of self-directed learning platforms like Q-Course, to
  understand the barriers to administrative staff engagement and to
  explore how incentives, formal recognition, or integration into
  performance evaluation systems might foster a stronger digital
  learning culture among non-academic personnel.</p>
  <p>On the other hand, the Q-Tracer platform for alumni tracking
  presents an opportunity to serve as a vital data source for
  industry-responsive curriculum planning. Future research could explore
  the application of artificial intelligence (AI) or machine learning to
  analyze correlations between graduate data, acquired competencies, and
  program relevance—thereby enabling institutions to implement
  longitudinal, data- driven evaluation systems. Finally, comparative
  studies of digital work culture across public and private
  universities, both in Indonesia and the broader Southeast Asian
  region, are also warranted. Variations in bureaucratic structures,
  governance models, and digital incentive policies could yield valuable
  insights into how external and internal factors influence the digital
  maturity of higher education institutions.</p>
  <p>By advancing these future research directions, scholars can
  contribute more robustly to the theoretical development of digital
  transformation, digital work culture, and sociomateriality within the
  higher education context. Practically, the outcomes of such studies
  may inform the design of institutional policies, digital system
  architectures, and human resource development strategies that are more
  adaptive, inclusive, and sustainable in the face of rapid digital
  change.</p>
</sec>
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