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Higher education is uncertain which sustainability-related education targets should be sought and monitored. Accepting that something needs to be measurable to be systematically improved, the authors explored how measures relate to potential targets. This paper aims to focus on dispositions to think critically (active open-minded thinking and fair-minded thinking in appraising reasoning) as measures and explored how they related to sustainability concern as an indicative educational target.

This research included the development and testing of research instruments (scales) that explored dispositions to critical thinking and sustainability concern. Authors researched these instruments within their own correspondence groups and tested them with university students and staff in Pakistan, the USA, Austria, India and New Zealand. The authors also asked a range of contextualising questions.

Respondents’ disposition to aspects of active, open-minded thinking and fair-minded thinking do predict their concern about facets of sustainability but their strength of religious belief was an important factor in these relationships and in their measurement.

This research demonstrates the complexity of monitoring dispositions to think critically and sustainability concern in educational systems, particularly in circumstances where the roles of religious beliefs are of interest; and suggests ways to address this complexity.

This research integrates and expands discourses on ESD and on critical thinking in diverse disciplines and cultures. It investigates measurement approaches and targets that could help higher education institutions to educate for sustainable development and to monitor their progress, in ways that are compatible with their culture and values.

Amid challenges posed by the COVID-19 pandemic, fostering employee creativity has become paramount for organizations. However, there is a scarcity of research on digitalization of the workplace and its implications for implementing high involvement work systems (HIWSs) in organizations, particularly in relation to their impact on employee outcomes, such as creativity and job satisfaction. Additionally, limited attention has been given to the role of job level and organizational type in driving change during times of adversity. This study aims to examine the factors within the HIWSs model using the PIRK model – power (P), information sharing (I), rewards (R) and knowledge (K) to explore how HIWSs shape the extent of power individuals have over their employment, the sharing of information, the types of rewards that engage and motivate employees and the knowledge required to fulfil employees’ responsibilities effectively, both individually and collectively.

Using a qualitative research methodology, this study uses thematic analysis for data collection, analysis and interpretation. Semi-structured interviews (n = 48) served as the primary data collection method. Using the theoretical lenses of high-involvement practices and employee perceptions of PIRK, the effect on employee creativity and job satisfaction is analysed.

The findings of this study reveal that employee creativity is significantly influenced by how employees perceive power, information, rewards and knowledge. Moreover, the study highlights the role of transformational and transactional leadership in shaping employee perceptions of power, information and knowledge within HIWSs. A high perception of PIRK is found to positively impact employee job satisfaction.

This study offers valuable insights for human resource management (HRM) professionals seeking to make informed decisions regarding best practices and initiatives for enhancing employee outcomes in the post-COVID era. By recognizing the pivotal role of HIWSs and their influence on employee perceptions, organizations can strategically implement HIWSs to foster creativity and job satisfaction. Furthermore, this research contributes to the existing literature by examining the interplay between HIWSs and the PIRK model in the context of workplace digitalization, emphasizing the importance of adapting HRM practices to address the evolving needs of the modern workforce.

This study will help HRM professionals in making informed decisions on the best practices and initiatives to enhance employee outcomes in the post-COVID era. This paper adds to the existing literature on HIWS and PIRK in the context of workplace digitalization.

This paper aims to explore the relationship between owner-manager or leader’s ambidextrous leadership style and its effect on human resource management (HRM) practices, contextual ambidexterity and knowledge-intensive small- and medium-enterprises (SMEs) strategic agility.

This study presents an in-depth qualitative case study analysis of two knowledge-intensive SMEs from India’s information technology and health-care products industry serving a range of global clients. Using the theoretical lenses of empowerment-focused HRM practices, ambidextrous leaders, contextual ambidexterity and strategic agility, semi-structured interview data of leaders, managers and employees of the case organizations were analysed. Through a two-staged analytical process, we abductively developed a novel conceptual framework at the intersection of the above theoretical lenses.

The findings suggest that the knowledge-intensive SME’s strategic agility, ambidexterity and empowerment-focussed HRM approach was influenced by the owner-manager or leader’s ambidextrous leadership style and their philosophy towards managing people and had a positive impact in creating a culture of trust, participation, risk-taking and openness, and led to delivering innovative products and services as well as several positive employee-level outcomes.

Recent literature reviews on HRM In SMEs highlight several gaps, including the impact of owner-manager or leader’s philosophy of managing people in shaping HRM practices and employee outcomes. This paper thus adds to the existing literature on HRM and knowledge-intensive SMEs.

This paper aims to proffer a broad overview of publications in the International Journal of Contemporary Hospitality Management (IJCHM) by conducting bibliometric analyses for the duration ranging from 1989 to 2022.

The research approach analyses the top authors, publications, most collaborative countries and top co-occurring keywords and significant themes published in IJCHM with the help of the Scopus database. The study entails performance analyses on IJCHM. A de-duplicating process was used to study the evolution of themes, so that the keywords identified from co-occurrences of authors’ keywords and thematic evolution map were refined to first- and second-order themes, further leading to the development of inductive analysis proposing aggregate themes.

The findings of this study not only help paint a comprehensive picture of the customer experience, but also illustrate how topics have evolved in the literature and reveal the most relevant upcoming fields of research. The thematic evolution map reveals thematic areas. There is evidence of contributions by authors across the world and spanning a multitude of themes such as business ethics, corporate and firm performance, stakeholders and avenues for the management of disruption, specifically in times of the COVID-19 pandemic outbreak.

Significant trends in authors, publications, nations, authors’ keywords and themes as uncovered by this study can greatly help budding authors understand the expectations and emerging research themes that define the IJCHM.

Through extensive bibliometric analyses, this study has created a historical log of the publications in IJCHM. It has identified the key research trends for future research and presented a conceptual framework based on the keyword analysis map and thematic evolution.

The study directs attention to the psychological conditions experienced and knowledge management practices leveraged by faculty in higher education institutes (HEIs) to cope with the shift to emergency remote teaching caused by the COVID-19 pandemic. By focusing attention on faculty experiences during this transition, this study aims to examine an under-investigated effect of the pandemic in the Indian context.

Interpretative phenomenological analysis is used to analyze the data gathered in two waves through 40 in-depth interviews with 20 faculty members based in India over a year. The data were analyzed deductively using Kahn’s framework of engagement and robust coding protocols.

Eight subthemes across three psychological conditions (meaningfulness, availability and safety) were developed to discourse faculty experiences and challenges with emergency remote teaching related to their learning, identity, leveraged resources and support received from their employing educational institutes. The findings also present the coping strategies and knowledge management-related practices that the faculty used to adjust to each discussed challenge.

The study uses a longitudinal design and phenomenology as the analytical method, which offers a significant methodological contribution to the extant literature. Further, the study’s use of Kahn’s model to examine the faculty members’ transitions to emergency remote teaching in India offers novel insights into the COVID-19 pandemic’s effect on educational institutes in an under-investigated context.

The purpose of this paper is to explore perspectives of academicians in leadership positions in Indian business schools on the sustainability of management education institutions in India.

Semi-structured interviews were conducted with 20 respondents including directors, deans and vice-chancellors of private and public sector institutions offering management programmes across India. The interviews were audio recorded and transcribed verbatim for analysis.

All the respondents strongly supported the need for building sustainable management education institutions. Different factors affecting sustainability of institutions that emerged from the interviews included focus on local context and inter-disciplinarity, visionary leadership and culture, country specific curriculum and pedagogy, sustained industry-academia collaboration, faculty orientation, training, retention and growth. On the basis of the factors identified, a directional proposition with the perspective of blue ocean strategy is proposed.

There is a vast scope for exploring issues, challenges and strategies for building sustainable management education institutions. Literature in this field in the Indian context is very limited. This paper is one of the few attempts to study perspectives and experiences of leaders in Indian business schools on the sustainability of their institutions.

The purpose of this study is to provide an integrative review of work–family enrichment literature.

The study is based upon 206 peer-reviewed papers derived from systematic search in the Scopus database. The review ascertains its relevance by analyzing the publication trends, research designs, data analysis techniques, sample characteristics, measures and findings of selected articles.

The study notes a rising trend of publication activity in the Asian region on this topic. Empirical research using regression is the most popular research design in this field. Most of the research studies have targeted samples based on family type and/or gender. The majority of the studies include directionality to measure work–family enrichment. Notably, work-related antecedents and consequences have received the most attention from the research community. Crossover models have concentrated on spousal dyad samples.

As per the authors' knowledge, the study is a primary attempt to integrate the extant literature on this subject. Additionally, the study presents the gender role ideology as a potential moderator and provides future research directions along with managerial implications.

This paper aims to identify the impacts of sociodemographic covariates on behavioural biases (BB) scores; the psychometric evidence of the BB measurement instruments; and the main BB that influences the decision-making of individual investors.

Papers were retrieved through search using keywords in ten databases. This systematic review is based on 69 peer-reviewed papers, most of which were published between 2017 and 2021. The relevance of the included papers was assessed through the analysis of statistical/psychometric methods used, and content analysis of the BB literature and its sociodemographic correlations.

Overconfidence is higher in men and not related to age. There was no consensus regarding the relationship between BB and other sociodemographic variables. Most measuring instruments are ad hoc, showing ≤ 4 types of psychometric evidence and assessing ≤ 9 BB. Therefore, the findings demonstrate that there is no gold standard instrument for measuring investors’ BB. Furthermore, 37 BB were cited as influencers of individual investors’ decision-making and overconfidence, herding, anchoring, representativeness and loss aversion were the most prevalent.

Considering that very few systematic reviews have been published in the behavioural finance area, this paper highlights the current state-of-the-art and identifies significant gaps in the literature that can be explored by further research.

To the best of the authors’ knowledge, this is the first systematic review that analyses the psychometric properties of instruments used for individual investors BB assessment.

The technique for hiding confidential data in specific digital media by enhancing the graphical contents is known as watermarking. The dissemination of information over a secure channel is essential for multimedia applications. The purpose of this study is to develop a secure communication approach for OFDM system.

This paper exploits a secure communication in the orthogonal frequency division multiplexing (OFDM) system using wavelet-based video watermarking technique. In this work, the Chronological-MS algorithm is used for securing the data communication in the OFDM system. Here, the secret message is embedded in video frames using wavelet transform for hiding sensitive information and the hidden information is transmitted over the OFDM system. The Chronological-MS algorithm is used for selecting the optimal regions in the video for embedding secret message. In embedding phase, wavelet coefficients are obtained by applying wavelet transform on the frame for embedding the secret message. Meanwhile, in extraction phase, the inverse wavelet transform is applied to extract the secret message.

Considering number of frames, the maximum Peak signal-to-noise ratio (PSNR) value is attained by proposed Wavelet + Chronological MS method for Video 2 with value 73.643 dB, respectively. Meanwhile, the minimum mean squared error (MSE) attained by the proposed Wavelet + Chronological MS method is when considering number of frames with MSE values as 0.001 for both Videos 1 and 2. The minimum bit error rate (BER) value is attained by the proposed method with value 0.00009 considering random noise with Video 1. Thus, the proposed Wavelet + Chronological MS have shown better results than the existing techniques.

This work proposes a wavelet-based watermarking method using Chronological-MS, for initiating secured communication over an OFDM. One of the main advantages of wavelets is that they offer a simultaneous localization in time and frequency domain. Hence, the proposed method offers the highly secured data transmission over the OFDM.

This paper attempts to identify the biases in decision-making of individual investors. The paper aims to develop and validate a higher-order behavioral biases scale.

Scale development is done by identifying the relevant items of the scale through existing literature and then, adding new items for some biases. In phase 1, using a structured questionnaire, data was collected from 274 investors who invest in financial markets. The major dimensions of the scale have been pruned by using exploratory factor analysis administered on data collected in phase 1. Higher-order CFA is used to analyze the data and to validate the scale on another set of data (collected in phase 2) containing 576 investors.

The study reveals that the scale for measuring behavioral biases has many dimensions. It has two second-order factors and 13 zero-order constructs. Two second-order constructs have been modeled on the basis of cause of errors in investment decision-making, that is, biases caused due to cognition, biases caused due to emotions.

Behavioral biases are yet to receive a due attention, especially, in the Indian context. The present research is focusing on providing an empirically tested scale to test the behavioral biases. Some of the biases, which have been analyzed using secondary data in previous studies, have been tested with the help of statements in this study.