*M. Muni jyothish Kumar , and Dr M Jayalakshmi
1. *M. Muni jyothish Kumar 
, Assistant Professor, Siddharth Institute of Engineering and Technology, Puttur, Andhra Pradesh. India.
E-mail: munijyothish@gmail.com, https://orcid.org/0009-0006-1050-4562?lang=en
2.Dr M Jayalakshmi , Professor & HoD, Siddharth Institute of Engineering and Technology, Puttur, Andhra Pradesh, India.
E-mail: mjayalakshmi@siddharthgroup.ac.in. https://orcid.org/0009-0001-9693-7329
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Abstract
As higher education institutions (HEIs) in emerging economies transition toward “Phygital” (Physical + Digital) ecosystems, a critical tension has emerged between rapid technological scaling and human capital sustainability. This paper proposes a conceptual model to reconcile the “Technostress-Growth Paradox,” exploring how institutions can achieve strategic expansion without compromising faculty well-being. Drawing on the Job Demands-Resources (JD-R) Theory, Dynamic Capabilities Theory (DCT), and Social Exchange Theory (SET), this study employs a multi-dimensional conceptual analysis. It integrates literature from 2022–2025 to examine the interplay between digital resources, technostress, and institutional resilience. The conceptual analysis reveals that “Phygital” growth is sustainable only when digital tools are reconfigured as autonomous resources rather than invasive demands (Batat, W., & Hammedi, W. 2023). The model identifies Trust and Digital Agency as key mediators that convert technostress into organizational commitment. Furthermore, applying Systems Theory suggests that real-time well-being feedback loops are essential for maintaining systemic equilibrium in hybrid environments. This study contributes to the literature by specifically addressing the unique socio-economic pressures of HEIs in emerging economies. It provides a novel integration of competitive strategy and organizational behavior to define the “Smart Campus 2.0” as a balanced, resilient ecosystem.
Key Words: Phygital Campus, Faculty Well-being, Institutional Growth, Emerging Economies, Technostress, Job Demands-Resources (JD-R), Strategic Resilience, Organisational Behaviour in Education.
Introduction
In the contemporary academic era, the global scholarly community is navigating a profound transition toward human-centric digital transformation, where technology is increasingly positioned as an enabler of human potential rather than a substitute for interpersonal connection (Fontenelle-Tereshchuk, 2025). This shift aligns with the United Nations Sustainable Development Goals, specifically SDG 3 and SDG 4, emphasizing that digital progress must foster organizational resilience by prioritizing the mental and professional flourishing of the faculty (Fung, J. M., & Hosseini, S. 2023; Ossiannilsson, 2022). By 2022, higher education reached a critical pivot as institutions moved beyond emergency remote teaching toward the “Phygital” campus a permanent, seamless integration of physical and digital ecosystems (Saindane et al., 2023; Meleet al., 2023). This era, often termed “The Great Re-evaluation,” has forced a strategic shift from operational survival to long-term sustainability, where the success of hybrid models is increasingly measured through the lens of digital well-being protocols (Asselin, 2024).
However, a significant “Technostress-Growth Paradox” has surfaced, particularly in emerging economies where the pursuit of digital prestige often triggers “digital invasion” and subsequent digital burnout among educators (Deep et al., 2025). When institutions prioritize technological scaling without mitigating the psychological costs to faculty, they risk high turnover and diminished engagement, which ultimately destabilizes the very institutional growth they intend to secure (Madigan & Kim, 2021). Consequently, this study investigates how phygital models can be structured to satisfy faculty needs for autonomy and competence without inducing digital exhaustion, specifically exploring the relationship between digital resources and engagement (Meleet al., 2023; Schaufeli, 2024).
The scope of this research is grounded in the Management and Organizational Behaviour dimensions of Higher Education Institutions (HEIs) within emerging markets, focusing on technostress creators, institutional growth metrics, and faculty behavioral outcomes. Centered on the Job Demands-Resources (JD-R) framework, the primary purpose is to develop a conceptual model that reconciles the tension between technological advancement and human capital. This study aims to identify the unique job demands and resources of (Prabhakar, et al., 2018; Demerouti, 2025) the phygital campus, propose a growth framework anchored in faculty well-being, and provide a strategic roadmap for administrators to build organizational resilience through human-centric design (Meleet al., 2023; Ossiannilsson, 2022; Bakker & Demerouti, 2007; Teece, 2007).
Table of Contents
Review of literature
This literature review explores the intersection of strategic institutional growth and faculty well-being within the emerging “phygital” (physical + digital) academic landscape (Meleet al., 2023). It integrates organizational behavior and management theories to propose a balanced conceptual model.
Theoretical Foundation
First, the Job Demands-Resources (JD-R) Model explains teacher stress. Teachers have many job demands like online teaching and digital work. At the same time, they need good support (Demerouti, 2025). Digital resources like strong internet and technical help reduce stress. When support is low and demands are high, teachers feel technostress. This stress leads to burnout. Burnout reduces teaching quality and research performance. So, proper resources are very important (Bakker and Demerouti, 2007; Cao et al., 2020).
Next, the Dynamic Capabilities Theory (DCT) explains organizational strategy. Universities must learn to use new technology. They should identify opportunities and use them quickly. They must also change their systems and skills. These abilities help universities survive in changing environments. In developing countries, these capabilities improve resilience. This resilience helps universities grow and compete better (Ossiannilsson, 2022; Patrício et al., 2022; Ramachandran et al., 2024; Teece, 2007).
Then, the Social Exchange Theory (SET) explains employee behaviour. When universities support teachers, teachers feel valued. This support includes flexible work and digital help (Batat, and Hammedi, 2023). When teachers feel supported, they develop trust. Trust creates commitment. Committed teachers work better and maintain quality education. This mutual relationship benefits both teachers and institutions.
Finally, the Systems Theory (ST) explains the overall structure. A university works like a system. Technology is the input. Institutional growth is the output. Between them, feedback is important. Feedback includes teacher well-being and performance data. Balance is needed between technology and human aspects, If technology pressure is too high, it harms people. So, balance keeps the system stable (Omohundro, 2014).
Literature Foundation
In recent studies, many researchers explain that the shift to a phygital campus (physical + digital learning) has created new challenges for teachers. One major problem is burnout, which means feeling very tired and stressed for a long time. According to Madigan and Kim (2021), burnout is not only a personal problem. It happens because of continuous work pressure in the organization. Similarly, Schaufeli (2024) explains that digital engagement is the opposite of burnout. When teachers use digital tools in a positive way, they feel more active and motivated. Therefore, institutions must provide good digital support to teachers.
From the view of Organizational Behaviour, the Job Demands-Resources (JD-R) Theory explains this situation clearly. Research shows that Digital Resources (like software, training, and support) help reduce burnout. Lillelien and Jensen (2025) found that digital resources reduce the negative effect of heavy digital work. At the same time, Technostress acts as a mediator. This means it connects workload and burnout. When teachers face too many digital tools without support, they feel stress and pressure (Demerouti, 2025). Ma and Pongpisanu (2025) describe this as “digital invasion,” where work enters personal life and reduces mental energy.
Recent studies (2022–2025) also suggest that institutions should introduce Digital Detach policies. These policies allow teachers to disconnect from work after working hours. From an organizational strategy perspective, institutions can use AI tools to reduce administrative work. This helps in lowering burnout and improving teacher well-being.
The idea of phygital affordances is now very important in strategy. Saindane et al. (2023) explain that combining physical and digital systems helps institutions gain competitive advantage. It improves student enrollment and reputation. Davis et al. (2024) also state that flexible infrastructure is important for growth in the post-pandemic period.
Using Dynamic Capabilities Theory, researchers highlight two important factors: Sensing and Seizing. Sensing means identifying changes in technology and teaching methods. Seizing means using these changes effectively. Ossiannilsson (2022) explains that institutions that adapt quickly become more resilient. This resilience helps in achieving long-term growth.
Literature also recommends giving autonomy to faculty. When teachers can choose their teaching methods, they perform better. This improves both organizational performance and employee satisfaction (Chaturvedi, et al., 2021). Another important concept is Digital Agency. Fontenelle-Tereshchuk (2025) states that when teachers have control over digital tools, their confidence increases. Asselin (2024) warns that strict top-down decisions reduce trust and create dissatisfaction among faculty. From the perspective of Social Exchange Theory, Discretionary Support is very important. This means support given beyond formal rules, like mental health help (Batat, W., & Hammedi, W. 2023). When institutions provide such support, teachers develop trust. This trust improves commitment and encourages teachers to do more than expected.
Recent studies also suggest co-designed hybrid systems, where teachers are involved in decision-making. This reduces resistance to change and improves long-term loyalty. Faculty turnover is another serious issue. Deep et al. (2025) explain that high attrition shows system failure. When technology demands are higher than human capacity, teachers leave the organization. The PIB Well-being Conclave (2025) also emphasizes the need to monitor employee health regularly.
Using Systems Theory, institutions must balance Input (Technology) and Output (Performance/Growth). Without proper feedback, the system becomes unstable. Researchers suggest using feedback systems to track teacher well-being. This helps institutions adjust policies and maintain balance.Overall, the literature shows that the phygital campus has both benefits and risks. While it supports growth and innovation, it can also increase stress. Theories like JD-R and Social Exchange Theory highlight the importance of protecting teacher well-being. At the same time, Dynamic Capabilities Theory and Systems Theory explain how institutions can achieve sustainable growth (Batat, W., & Hammedi, W. (2023).
Finally, research concludes that Technostress and Trust are the most important factors. These variables decide whether a phygital system leads to success or failure. If managed well, institutions can achieve both employee well-being and organizational growth (Chaturvedi, et al., 2021).
Methodology
This paper uses a conceptual research method. It does not collect primary data like surveys or interviews. Instead, it studies existing theories and research papers. The method follows a deductive approach. First, the study identifies a key problem called the “Technostress-Growth Paradox.” This means technology helps growth but also creates stress.
Next, the study combines different theories to build a strong framework. These include the Job Demands-Resources (JD-R) model, Dynamic Capabilities Theory, and Social Exchange Theory. The JD-R model explains how job demands can create stress if resources are low. Dynamic Capabilities Theory explains how organisations adapt and grow in changing environments. Social Exchange Theory explains how trust and support improve employee commitment. The study also defines important variables. Digital Resources are treated as the independent variable. Technostress is treated as the mediating variable. These variables are explained based on the conditions of emerging economies (Demerouti, 2025). Finally, the study builds a model that balances growth and employee well-being. This method ensures strong theoretical support and practical usefulness for institutions.
The study focuses on two main goals: strategic agility and psychological sustainability. Strategic agility means the ability to change quickly. Psychological sustainability means maintaining employee mental health. The JD-R theory shows that employees feel burnout when job demands are high and resources are low. Dynamic Capabilities Theory explains how institutions identify and use new opportunities in a “phygital” environment (physical + digital). Social Exchange Theory explains that when institutions support employees, employees return with loyalty and commitment (Demerouti, 2025). The study also uses Systems Theory. This theory explains that all parts of an organisation are connected. A change in one part affects the whole system. Based on these theories, the study identifies key variables like autonomy, resilience, and technostress. These variables help balance growth and employee welfare.
This study focuses on emerging economies like India. These countries face fast digital growth and resource challenges. Many institutions adopt technology quickly, but support systems are not always strong. This creates stress for employees. The study also considers changes after 2022, known as “The Great Re-evaluation.” During this time, employees started expecting flexible and hybrid work. Institutions moved from emergency online teaching to permanent “phygital” systems. The study explains that institutions often focus on digital success and rankings. This may lead to “digital invasion,” where employees feel overloaded (Chaturvedi, et al., 2021). The study suggests that institutions must follow a human-centered approach (Chaturvedi, et al., 2021). They should support autonomy, reduce workload, and improve work-life balance.
This study uses literature from 2021 to 2025. This period is important because it includes pandemic and post-pandemic changes. It captures new ideas like digital well-being and phygital systems. This wide coverage ensures that the study is current, reliable, and useful for future research.
Analysis
The conceptual review shows that institutional growth is not based only on buildings or digital tools. It depends on how well the organization can adjust and protect its employees from stress caused by technology. This idea is supported by Dynamic Capability Theory, which explains that organizations must sense changes, use opportunities, and reconfigure resources for long-term success (Ossiannilsson, 2022; Saindane et al., 2023).
Table 1: Literature Analysis: Objective-Theory-Variable Matrix
Objective | Theoretical Foundation | Variables | Identified Problem | Proposed Solution |
Balance Faculty Well-being | JD-R Theory | IV: Digital Resources; MV: Technostress; DV: Burnout | Chronic faculty exhaustion and “Digital Invasion.” | Implement “Digital Detach” policies and AI administrative support. |
Sustain Institutional Growth | Dynamic Capabilities | IV: Sensing & Seizing; MV: Resilience; DV: Growth | Strategic rigidity and failure to adapt in emerging markets. | Reconfigure assets to allow faculty autonomy in hybrid modes. |
Foster Social Exchange | Social Exchange Theory | IV: Discretionary Support; MV: Trust; DV: Commitment | Erosion of trust due to top-down digital mandates. | Shift to co-designed hybrid workflows and inclusive policy. |
Systemic Equilibrium | Systems Theory | IV: Tech Input; Feedback: Well-being Data; DV: Output | Systemic entropy and high faculty attrition rates. | Create integrated “Feedback Loops” using health metrics for strategy. |
From the table 1, a strategy point of view, organizations must not just adopt technology, but use it wisely. The conceptual analysis explains that digital tools should reduce workload stress and support employees. This idea comes from the Job Demands-Resources (JD-R) Theory, where resources help reduce job stress and improve performance (Demerouti, 2025). When institutions use digital systems as support tools, they can improve resilience and sustain growth. Strategic success happens when organizations balance technology use and human well-being. If there is too much technology without support, it can lead to stress and reduce performance (Schaufeli, 2024).
The organizational behaviour perspective, employee response is very important. The review shows that faculty or employees feel better when they receive support from the institution. Social Exchange Theory explains that when organizations care for employees, employees return with trust and commitment. If institutions provide flexible policies like “digital detach” (time away from technology), employees feel less stress and more satisfaction. But if support is not given, employees may feel burnout and emotional exhaustion (Madigan & Kim, 2021). This creates a negative impact on both individual and organizational performance.
Application prospects of this research are very useful for modern institutions, especially in emerging economies. The study suggests that organizations should design systems where technology helps people, not harms them. By using AI-based support systems and flexible work designs, institutions can reduce technostress and improve productivity. Also, allowing employees to take part in decision-making builds trust and improves work relationships (Davis et al., 2024). This participative approach strengthens organizational culture and supports long-term growth.
The conceptual review highlights that maintaining balance is the key to success. Systems Theory explains that organizations must continuously check employee well-being and adjust their systems. Feedback from employees helps in improving policies and reducing problems like burnout and attrition. When institutions balance technology use with human needs, they can achieve sustainable growth and stability. Thus, this research justifies its importance in the field of Organization Strategy and Organization Behaviour by showing how technology, human behaviour, and strategic management must work together for successful organizational outcomes.
The conceptual review shows that both strategy and behaviour must work together. This is explained through a “Phygital” framework. The term “Phygital” combines physical and digital systems. It means institutions use both traditional and digital methods together. Technology provides the base system, such as online platforms and digital tools. However, human factors like trust, resilience, and well-being play a key role in success. Without these human values, technology alone cannot improve performance.
The review also uses Systems Theory to explain institutional growth. Systems Theory states that all parts of an organisation are connected. Strategy, technology, and human behaviour must stay in balance. When this balance is maintained, institutions can achieve sustainable development. In emerging economies, this balance is more important because of rapid change and limited resources. Therefore, institutions must create harmony between strategy and employee behaviour.
The analysis confirms that academic excellence depends on both digital systems and human strength. Technology supports teaching and learning processes. But real success comes from motivated and healthy employees. Trust builds strong relationships. Resilience helps employees face challenges. Well-being ensures long-term performance. These factors improve overall institutional quality and outcomes.
Recommendations
In today’s education system, institutions must change how they use technology. The idea of “Phygital” means using both physical and digital methods together. This should not be seen as just a technology project. Instead, it should be treated as a strong organizational ability that helps the institution grow and adapt.
From a strategy view, management should first understand the needs of faculty. In many developing regions, internet and digital facilities are not always stable. So, institutions must carefully observe and identify these problems. This step is called sensing. After that, they must act by giving flexible teaching options. This step is called seizing. When institutions do both well, they become more flexible and stronger. They can quickly adjust to changes in the environment.
Another important strategy is to give freedom to faculty members. Teachers should be allowed to choose how they teach, whether online or offline. This improves their comfort and performance. When institutions change their systems to support this flexibility, they become more competitive and sustainable. From the organizational behaviour side, faculty well-being is very important. Too much use of digital tools can create stress. This is called technostress. To reduce this, institutions should introduce “Digital Detach” policies. These policies allow teachers to take breaks from technology. For example, there can be fixed hours where no emails or online work is allowed. This helps faculty maintain work-life balance.
Institutions can also use AI-based assistants to reduce the workload of teachers. These tools can help in administrative tasks like scheduling, grading, and communication. This reduces mental pressure and allows teachers to focus on teaching and research. Another important idea is social exchange. Management should involve teachers in decision-making. When faculty participate in designing digital systems, they feel valued and respected. This turns technology from a burden into a helpful tool. It also increases trust and cooperation between management and staff.
For future research, scholars can improve existing models like the Job Demands-Resources (JD-R) Model. They can add a new concept called “Phygital Resources”, which includes both digital and physical support systems. Researchers can also develop well-being dashboards. These dashboards can track teacher stress and workload in real time. If stress increases, the system can give early warnings and suggest solutions. This helps prevent burnout.
The problem of faculty burnout happens when there are high job demands but low support. By providing digital tools, AI support, and break policies, institutions can reduce stress. This changes the situation from negative to positive. Teachers feel more motivated and less tired. For long-term growth, institutions must also focus on resilience. When teachers are given digital freedom and support, they become more adaptable. This helps the institution grow continuously. A strong link between individual freedom and organizational goals ensures success.
Institutions must view the “Phygital” transition as a Dynamic Capability rather than a mere IT project. Management should “Sense” the specific needs of faculty in emerging economies where infrastructure may be inconsistent and “Seize” opportunities to create hybrid flexibility. Strategic resilience is achieved when the institution reconfigures its assets to allow faculty autonomy in teaching modes, ensuring the university remains agile in a volatile market (Teece, 2007).
Administrators should implement “Digital Detach” policies and AI-driven administrative assistants to lower the cognitive load on faculty. Practically, this involves establishing “Tech-Free Zones” or hours to prevent digital invasion into personal life. Management should foster a Social Exchange by involving faculty in the co-design of hybrid workflows, transforming digital tools from “forced mandates” into “discretionary resources” (Asselin, 2024). Future research should expand the JD-R Model to include “Phygital Affordances” as a specific category of Job Resources. Theories of Systemic Equilibrium should be used to develop real-time “Well-being Dashboards.” These dashboards serve as feedback loops, allowing the system to adjust digital demands dynamically before faculty reach the threshold of burnout (Omohundro, 2014; Deep et al., 2025).
The recommendation to Balance Faculty Well-being is grounded in JD-R Theory, which identifies that the current problem of chronic burnout stems from a lack of supportive Digital Resources (IV). To solve this, the solution involves introducing AI-driven support and “Digital Detach” protocols to mitigate the mediating variable of Technostress. By manipulating these resources, the institution converts the health impairment process into a motivational one, directly lowering the dependent variable of Burnout (Madigan & Kim, 2021; Schaufeli, 2024).
In terms of Sustaining Institutional Growth, the Dynamic Capabilities Theory provides the framework where the problem of institutional rigidity is addressed. The solution is to empower faculty with digital autonomy, which enhances the independent variables of Sensing and Seizing. This strategic move builds the mediating variable of Resilience, ultimately driving the dependent variable of Institutional Growth (Ossiannilsson, 2022). By aligning individual agency with organizational strategy, the institution ensures that technological prestige does not compromise the social subsystem (Saindane et al., 2023; Davis et al., 2024).
Abbreviations
HEIs: Higher Education and Institutions
DCT: Dynamic Capabilities Theory
SET: Social Exchange Theory
JDR: JOB Demand Resource
Acknowledgement
We would like to thank the administration department faculty at Siddharth Institute of Engineering and Technology, Puttur, Andhra Pradesh, 517583, India. I also want to thank the college administration for making it easier to prepare this manuscript.
Conflict of Interest
All authors confirm that this document was never submitted to any conference, seminar, national or international journal before. We’re not declaring any conflicts of interest. The authors declare no potential conflicts of interest concerning the research, authorship, or publication of this article.
Ethic Approval
There no ethical issue applicability in this study.
Declaration of Artificial Intelligence (AI)
We have not used artificial intelligence for data collection, analysis and conceptual writing. AI Measures taken to improve clarity and readability of the English language for readers.
Funding
No institute provides financial support for the preparation of research investigations.
AUTHORS CONTRIBUTIONS
Conceptualization: Mr. M. Muni Jyothish Kumar and Dr. M. Jayalakshmi .
Resources collection: Mr. M. Muni Jyothish Kumar .
Formal analysis: Dr. M. Jayalakshmi
Methodology: Dr. M. Jayalakshmi .
Writing – original draft: Mr. M. Muni Jyothish Kumar.
Writing – reviewing & editing: Dr. M. Jayalakshmi.
Corresponding Author
Mr. M. Muni Jyothish Kumar, Email: munijyothish1@gmail.com
Author Biography
Mr. M. Muni Jyothish Kumar is an Assistant Professor at Siddharth Institute of Engineering & Technology, Puttur, Andhra Pradesh, India. He holds a M.Sc. in Psychology from Dr. B.R. Ambedkar University, an MBA in Finance and Marketing Management, and a B.Com (Computers) from Sri Venkateswara University. With over 14 years of teaching experience in higher education, he has contributed significantly to academic instruction, research, and student development. His research interests include marketing management, consumer behavior, entrepreneurship, organizational psychology, and socio-economic development. He has published 10 research papers in national and international journals and is the holder of a patent. He has been actively participating in Faculty Development Programs, workshops, seminars, and NPTEL courses, demonstrating his commitment to academic excellence, professional growth, and interdisciplinary research.
Dr. M. Jayalakshmi is an Professor at Siddharth Institute of Engineering & Technology, Puttur, Andhra Pradesh, India. She holds a Ph.D. in Marketing from Sri Venkateswara University, Tirupati, an MBA in Human Resource Management and Marketing from Jawaharlal Nehru Technological University, Anantapur, and a B.Sc. in Mathematics from Sri Venkateswara University. With over 15 years of teaching experience in higher education, she has made significant contributions to teaching, research, and academic development. Her research interests include marketing management, human resource management, consumer behavior, organizational development, and business analytics. She has published 28 research papers in national and international journals and is the holder of two patents. Dr. Jayalakshmi has actively participated in seminars, workshops, and Faculty Development Programs, reflecting her commitment to academic excellence, professional development, and innovative research.
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