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This case is intended to introduce participants to basic personality types and the role they play in group decision making situations. The Myers-Briggs Type Indicator (MBTI) framework is used as the theoretical foundation to explore various personality types. The complexities involved in decision making in a group with divergent personalities are explored through a dilemma faced by Suvasi Textiles. The management team of Suvasi Textiles is grappling with a critical decision which can decisively change the future of the organisation; the case illustrates how the different personality types are impacting the decision making process. The case can serve to highlight the impact of type dynamics on team effectiveness, conflict negotiation, response to change and stress management.

Advancements in open source, free integrated library management system (LMS) for cataloging, circulation, flexible reporting and automated library services especially in academic communities has gained extreme importance. The purpose of this study is to provide solution to a distinct problem about automatic generation of multiple copies for unique titles leading to title mismatch and duplication in biblio-records related to university collection of books. The aim of this paper is to provide solution to generate the unique titles report in any large size university library using KOHA, without loss of accession history or empirical data. This paper also demonstrates the smooth transition from one library software to KOHA.

The case university is considered here as a giant entity having huge collection of reading material, along with multiple institutes affiliations. The study demonstrates a step-by-step trial-and-error method involving several iterations detecting root cause, implementing corrective actions and finally resolving the problem of data redundancy and duplication of records. Currently, KOHA’s user manual does not provide any solution to this problem. The authors believe that this paper will enable various practitioners of KOHA-LMS toward understanding and appreciating the quality of library information/records being managed in delivering quality services to all its users and stakeholders. The methodology used in this work is KOHA’s open access platform, and the existing LMS, for generating unique titles report. The Microsoft’s Excel format, pivot table approach, Libsuite software, SQL queries for KOHA, databases, cloud-based system platform, etc. approaches are used to successfully achieve the unique title report of print books in the university library.

This paper provides the solution about how to generate a complete and correct unique title report for all print books of the university. The preventive measures related to generation of unique titles when influx of new books or adding new institute(s) under the university are required.

The focus of the work discussed here is limited to generating correct report of unique titles using KOHA related to only print books of a university having multiple institutes affiliated to it.

This paper gives a constructive solution for generation of the unique titles report using KOHA, practically useful for any university or to the institute who wish to use KOHA, one of the open source software used worldwide for libraries.

This paper fulfills an identified need to study how to generate unique titles report related to print books of the university library. To the best of the authors’ knowledge, there exists no such case study from available knowledge base/literature on the topic of interest and particularly focusing on the multiple copies data redundancy problem of KOHA-LMS.

ChatGPT, an artificial intelligence (AI)-powered chatbot, has gained substantial attention in the academic world for its potential to transform the education industry. While ChatGPT offers numerous benefits, concerns have also been raised regarding its impact on the quality of education. This study aims to bridge the gap in research by exploring teachers' perspectives on the adoption of ChatGPT, with a focus on identifying factors that motivate and inhibit them to adopt ChatGPT for educational purposes.

This research has employed a interpretative phenomenological analysis (IPA) qualitative approach. Through in-depth interviews among the teachers, data will be collected to identify the motivating and inhibiting factors that impact teachers' willingness to adopt ChatGPT. The data was collected from 34 teachers working across 10 branches of the University of Technology and Applied Sciences (UTAS) in Oman.

The analysis revealed four themes under motivating factors that encourage teachers to adopt ChatGPT for their educational purpose. These include Theme 1: Exploration of innovative education technologies, Theme 2: Personalization teaching and learning, Theme 3: Time-saving and Theme 4: Professional development. On the other hand, inhibiting factors includes five themes which includes Theme 1: Reliability and accuracy concerns, Theme 2: Reduced human interaction, Theme 3: Privacy and data security, Theme 4: lack of institutional support and Theme 5: Overreliance on ChatGPT.

This study contributes to the understanding of teachers' perspectives on the adoption of ChatGPT in education. By understanding teachers' perspectives, policymakers can design appropriate policies and service providers can customize their offerings to meet teachers' requirements. The study's findings will be valuable for higher education institutions (HEIs) in formulating policies to ensure the appropriate and effective utilization of ChatGPT. The study will provide suggestions to ChatGPT service providers, enabling them to focus on motivating factors and address inhibiting factors, thereby facilitating the seamless adoption of ChatGPT among teachers.

In comparison to previous studies, this study goes beyond merely discussing the possible benefits and limitations of ChatGPT in education. This research significantly contributes to the understanding of ChatGPT adoption among teachers by identifying specific motivating and inhibiting factors that influence teachers to adopt ChatGPT for educational purposes. The research enables to gain important new insights that were not previously found, giving a fresh dimension to the existing literature.

The research paper investigated the intentions of superannuated persons toward the post-retirement work. This study aims to examine the role of attitude, job satisfaction and education in post-retirement work intensions.

A questionnaire was administered for collecting the data. It was submitted to the 300 government retirees. Data was analyzed by using Process macro. Intention toward work was used as an outcome variable. Attitude as a predictor variable, job satisfaction as a mediator and education as a moderator variable were used. The impact of attitude on intentions toward work was examined through job satisfaction and education.

The findings of the research showed the significance of experimented model. Therefore, the positive effect of attitude in determining the intentions has been proved and the effect of mediator-moderator was also significant.

The study is related to retired persons only and suggested that the level of education plays a major role in determining work intentions after retirement. This study addressed a research gap about how the interaction of job satisfaction and education affects the association among attitude and work intentions of superannuated persons.

This study aims to investigate research scholars’ and faculty members’ perception, participation in collection development, satisfaction with the adequacy of the library collection and challenges faced during the recommendation of resources in selected university libraries of Northern India.

The data was collected with the help of a structured questionnaire from the research scholars and faculty members from all disciplines of five universities of Northern India. The comparison between the researchers and faculty members was carried out within the university, as well as across the universities. A total of 652 questionnaires were distributed, out of which 465 filled questionnaires were finally selected for data analysis. The collected data was analyzed with the help of SPSS and the hypotheses were tested using Chi-square (χ²) test.

The survey results found significant differences in awareness of collection development policy (CDP), as well as the recommendation of resources (i.e. textbooks, reference books, journals and magazines and non-book materials) between the research scholars and faculty members across the libraries. However, no significant difference was found between the opinion of the research scholars and faculty members on the adequacy of library collection across the libraries.

The study was limited to five university libraries of North India which included Maharishi Dayanand University (Rohtak) and Kurukshetra University (Kurukshetra) from the State of Haryana Panjab University from Union Territory of Chandigarh and Punjabi University (Patiala) and Guru Nanak Dev University (Amritsar) from the state of Punjab.

The outcomes of this study will undoubtedly help the library authorities and management to understand the awareness of users (i.e. research scholars and faculty members) about the collection development process such as CDP of the library, kind of resources recommend, their assessment on adequacy of different kind of resources and their ultimate satisfaction from it.

The study is an extensive survey about the perception and participation of research scholars and faculty members in the collection development process of their respective libraries and indicates their satisfaction from the library collection.

Zero-failure reliability testing aims at demonstrating whether the product has achieved the desired reliability target with zero failure and high confidence level at a given time. Incorporating accelerated degradation testing in zero-failure reliability demonstration test (RDT) facilitates early failure in high reliability items developed within short period of time to be able to survive in fiercely competitive market. The paper aims to discuss these issues.

The triangular cyclic stress uses one test chamber thus saving experimental cost. The parameters in model are estimated using maximum likelihood methods. The optimum plan consists in finding out optimum number of cycles, optimum specimens, optimum stress change point(s) and optimum stress rates.

The optimum plan consists in finding out optimum number of cycles, optimum specimens, optimum stress change point(s) and optimum stress rates by minimizing asymptotic variance of estimate of quantile of the lifetime distribution at use condition subject to the constraint that total testing or experimental cost does not exceed a pre-specified budget. Confidence intervals of the design parameters have been obtained and sensitivity analysis carried out. The results of sensitivity analysis show that the plan is robust to small deviations from the true values of baseline parameters.

For some highly reliable products, even accelerated life testing yields little failure data of units in a feasible amount of time. In such cases accelerated degradation testing is carried out, wherein the failure termed as soft failure is defined in terms of performance characteristic of the product exceeding its critical (threshold) value.

The purpose of the study is to find out the budgetary allocation for books and journals (Print and Electronic) and growth of resources during 2003-2004 to 2012-2013. The study also explored the significant/non-significant relationship for budget allocated for books and journals (Print and Electronic) as well as growth of resources across the libraries. This will help the librarians of such universities to build their collection accordingly.

The data were collected with the help of a structured questionnaire. Moreover, information was obtained from the primary library records such as annual reports, budget estimates, ledgers and also the staff involved in the acquisition section. The hypotheses were tested using chi-square test. The relationship between budgetary allocation and growth of resources amongst the five university libraries during 2003-2004 to 2012-2013 were analysed and discussed.

Maharishi Dayanand University library had the highest budget for purchase of books (Rs.125 lakh), whereas Panjab University library had the highest budget (Rs.208 lakh) for purchase of journals (Print and Electronic) during 2012-2013. Panjab University library allocated Rs.18 lakh for purchase of books and Rs.208 lakh for purchase of journals (Print and Electronic) during 2012-2013. Punjabi University library allocated 16 lakh for purchase of books and 45 lakh for purchase of journals (Print and Electronic) during 2012-2013. Guru Nanak Dev University library allocated Rs.16.80 lakh as the budget for purchase of books and Rs.8.30 lakh for purchase of journals (Print and Electronic) from 2007-2008 to 2012-2013. Kurukshetra University library allocated Rs.9 lakh for purchase of books during 2010-2011 and 2011-2012, whereas it had allocated Rs.79.20 lakh for purchase of journals (Print and Electronic) during 2008-2009. Maharishi Dayanand University library allocated Rs.125 lakh for purchase of books during 2011-2012 and 2012-2013, whereas it allocated Rs.125 lakh for purchase of journals (Print and Electronic) during 2012-2013.

The study was limited to five universities of Northern India, which comprised Panjab University, Chandigarh (PU); Punjabi University, Patiala (PbiU); Guru Nanak Dev University, Amritsar (GNDU); Kurukshetra University, Kurukshetra (KU); and Maharishi Dayanand University, Rohtak (MDU). The data related to budgetary allocation for resources and growth and cumulative growth of books and journals (print and electronic) during 2003-2004 to 2012-2013 were collected and analysed.

This is the first of its kind of study in these universities, which provides an overview of how much budget was allocated for collection development in these university libraries. The relation between budget allocation and growth of resources were compared, and their significant/non-significant relationship in five university libraries in North India was found.

This study aims to address the existing knowledge gap by investigating teachers’ adoption of ChatGPT for educational purposes. The study specifically focuses on identifying the factors that motivate and inhibit teachers in adoption of ChatGPT in higher education institutions (HEIs).

This research has used interpretative phenomenological analysis – a qualitative approach. Through in-depth interviews among the teachers, data was collected to identify the motivating and inhibiting factors that impacted teachers’ willingness to adopt ChatGPT. The data was collected from 48 teachers working across HEIs of Uttarakhand region in India.

The analysis revealed seven themes under motivating factors that encourage teachers to adopt ChatGPT for their educational purposes. These include time factor, tool for competitive edge, learning enhancement tool for students, research facilitator, benefits in educational settings, troubleshooter and easy to use. On the other hand, inhibiting factors comprise five themes, which include technical difficulties, limited features for educational and research purposes, tool for handicapping innovation and creativity, lack of personal touch and ethical considerations.

The findings will be valuable for HEIs in establishing policies that promote the appropriate and effective use of ChatGPT. Moreover, the study provides recommendations to ChatGPT solution providers for improving ChatGPT services for effective adoption of ChatGPT among teachers and implementation at HEIs. Further, it contributes to the body of literature by filling a knowledge gap about teacher adoption of ChatGPT in the HEIs. Through qualitative research, the study has pinpointed specific motivating and inhibiting factors that affect teacher adoption of ChatGPT.

Unlike previous studies that primarily explored the potential advantages and drawbacks of ChatGPT in education, this research study delves deeper into the topic. It makes a substantial contribution to our understanding of ChatGPT adoption among teachers by identifying distinct factors that either motivate or inhibit teachers from adopting ChatGPT for job related purposes. The study provides novel insights that were previously mislaid, thereby introducing a fresh perspective to the existing literature

This study aims to delve into the perspectives of educators on integrating ChatGPT, an AI language model into management education. In the current research, educators were asked to talk as widely as possible about the perceived benefits, limitations of ChatGPT in management education and strategies to improve ChatGPT for management education. Also, shedding light on what motivates or inhibits them to use ChatGPT in management education in the Indian context.

Interpretative phenomenological analysis commonly uses purposive sampling. In this research, the purpose is to delve into educators’ perspectives on ChatGPT in management education. The data was collected from the universities offering management education in Uttarakhand, India. The final sample size for the study was constrained to 57 educators, reflecting the point of theoretical saturation in data collection.

The present study involved educators discussing the various advantages of using ChatGPT in the context of management education. When educators were interviewed, their responses were categorized into nine distinct sub-themes related to the benefits of ChatGPT in management education. Similarly, when educators were asked to provide their insights on the limitations of using ChatGPT in management education, their responses were grouped into six sub-themes that emerged during the interviews. Furthermore, in the process of interviewing educators about potential strategies to enhance ChatGPT for management education, their feedback was organized into seven sub-themes, reflecting the various approaches suggested by the educators.

In the qualitative study, perceptions and experiences of educators at a certain period are captured. It would be necessary to conduct longitudinal research to comprehend how perceptions and experiences might change over time. The study’s exclusive focus on management education may not adequately reflect the experiences and viewpoints of educators in another discipline. The findings may not be generalizable and applicable to other educational disciplines.

The research has helped in identifying the strengths and limitations of ChatGPT as perceived by educators for management education. Understanding educators’ perceptions and experiences with ChatGPT provided valuable insight into how the tool is being used in real-world educational settings. These insights can guide higher education institutions, policymakers and ChatGPT service providers in refining and improving the ChatGPT tool to better align with the specific needs of management educators.

Amid the rising interest in ChatGPT’s educational applications, a research gap exists in exploring educators’ perspectives on AI tools like ChatGPT. While some studies have addressed its role in fields like medical, engineering, legal education and natural sciences, the context of management education remains underexplored. This study focuses on educators’ experiences with ChatGPT in transforming management education, aiming to reveal its benefits, limitations and factors influencing adoption. As research in this area is limited, educators’ insights can guide higher education institutions, ChatGPT providers and policymakers in effectively implementing ChatGPT in Indian management education.

The effect of e-learning success relies on the learning management system and its effectiveness provided to the learners. As a result, higher education institutions (HEIs) are expanding using various e-learning platforms and focusing on system and information quality. This study adopts the ISS (information system success) model to assess students' perception of e-learning system success (e-LSS).

A quantitative research approach was used to analyse 151 students' perceptions collected from HEIs in Oman. The survey instrument was built on prior research related to DeLone and McLean’s ISS model, and expert opinion was involved for validation. The snowball sampling method was used to collect the data, and participants' anonymity and confidentiality were maintained as part of the ethical process. The reliability of data was tested using Cronbach's alpha analysis. A statistical tool like correlation was used to examine the relationship between the study variables (system quality, information quality, user satisfaction and e-LSS).

This study’s results revealed that students positively perceived system usage, and users' satisfaction with e-learning systems (e-LSs) was high. Moreover, the correlation results indicated that the system and information quality aspects of e-learning significantly influence e-LSS.

The study results on students' perspective towards e-learning information systems can be advantageous to HEIs and various stakeholders like policymakers, and e-learning platforms. It may support and assist the HEIs and corporate firms in deciding on e-learning platforms for students and learners, respectively. Moreover, the consolidated findings will contribute to the existing literature on e-learning success factors from students’ perspectives.

This study examines the students' perception of e-LSS in Oman HEIs and advocates prospects for further in-depth study and analysis.