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Cybersecurity vulnerabilities are often due to human users acting according to their own ethical priorities. With the goal of providing tailored training to cybersecurity professionals, the authors conducted a study to uncover profiles of human factors that influence which ethical principles are valued highest following exposure to ethical dilemmas presented in a cybersecurity game.

The authors’ game first sensitises players (cybersecurity trainees) to five cybersecurity ethical principles (beneficence, non-maleficence, justice, autonomy and explicability) and then allows the player to explore their application in multiple cybersecurity scenarios. After playing the game, players rank the five ethical principles in terms of importance. A total of 250 first-year cybersecurity students played the game. To develop profiles, the authors collected players' demographics, knowledge about ethics, personality, moral stance and values.

The authors built models to predict the importance of each of the five ethical principles. The analyses show that, generally, the main driver influencing the priority given to specific ethical principles is cultural background, followed by the personality traits of extraversion and conscientiousness. The importance of the ingroup was also a prominent factor.

Cybersecurity professionals need to understand the impact of users' ethical choices. To provide ethics training, the profiles uncovered will be used to build artificially intelligent (AI) non-player characters (NPCs) to expose the player to multiple viewpoints. The NPCs will adapt their training according to the predicted players’ viewpoint.

Achieving innovation performance (IP) through high-performance work system (HPWS) remained relatively unexplored. Literature on the HPWS-IP linkage mechanism raises a question mark and highlights the existence of a black box. Therefore, the present study aimed to empirically fill the gap in the literature by developing a framework to theorize HPWS nexus with IP through serial mediation of intellectual capital (IC) and organizational ambidexterity (OA).

To answer the study questions survey-based, multi-source and time-lagged data were collected to examine the proposed model. SPSS 24 version was used to evaluate descriptive statistics and through Smart-PLS 3.32., partial least square structural equation modeling (PLS-SEM) was employed to test the study hypotheses.

Study findings indicate that HPWS not only has a significant direct impact on IP but also has a significant indirect relationship with IP through the mediation of IC and OA. Both IC and OA also mediated this relationship serially.

The originality of the study lies in the fact that it studied HPWS as an antecedent of IC and OA and IP as the consequence. Further, the study fills the knowledge gap in previous literature in which limited or no study has used the serial mediation model with two mediators particularly IC and OA to explore the relationship between HPWS and IP.

This study aims to examine the quantitative research productivity of International Financial Reporting Standards (IFRS) globally by using the bibliometric approach. The method was applied to articles indexed in the Scopus database to analyze the publication patterns, trends and research productivity of the selected papers.

Bibliometric analysis is applied to analyze research productivity of IFRS from 2003 to 2020. The method was applied to articles indexed in the Scopus database to analyze the publication patterns and research productivity of the selected papers.

This study finds that a good number of articles have been published on IFRS, the top five countries are the USA, UK, Australia, Germany and Canada. This clearly shows that developed markets have the highest number of publications on IFRS. This could be as a result of the early adoption of IFRS by those economies and owing to the interest of researchers in those markets. Most of the studies are quantitative in nature; this study indicates that publication on accounting standards is popular as the number of citations is significant; most of the articles have two or more authors and were published in top-ranking journals.

This study provides up-to-date literature on the global research productivity of IFRS; as a result, it supports the development of policies by the users of this accounting standards. The findings of this study also serve as a reference point for firms and regulators around the world. Given the thoroughness of the methodology of this study, the results make it easier to effectively identify the direction of research on the implementation of IFRS in organizations.

This study provides a more comprehensive bibliometric analysis on the growth of IFRS literature (2003–2020) in the Scopus database; most of the prior studies have covered relatively few areas of focus as well as a fewer number of high impact factor journals. The relevance of this finding is in uncovering different areas of IFRS research productivity globally.

This study aims to analyze access of cotton growers to Sustainable Livelihoods Assets Pakistani Punjab.

This study uses the department for international development (DFID’s) sustainable livelihoods framework (DFID) (1999). Where data collection was done by using a well-structured questionnaire from 200 randomly selected cotton growers of the district Muzaffargarh. There are five livelihood assets (human assets, natural assets, financial assets, physical assets and social assets) in the SLF, this study has used three different indicators/proxies for each asset except natural assets, where four indicators were used to capture the salient features of the respondents’ access to that assets. Each indicator was given a weight by using the entropy technique to keep the consistency of the quantification. Livelihood assets indices were calculated in case of each livelihood asset for conducting Livelihood Assets Pentagon Analysis. Value of livelihood index ranged from 0–4.

Livelihoods Assets Pentagon analysis shows that cotton growers do not have proper access to all five livelihood assets. The asset with the highest capacity were social assets (sustainable livelihood index value = 0.3994), followed by natural assets (0.3294), financial assets (0.2511), human assets (0.2143) and physical assets (0.0897).

This study uses the SLF developed by DFID for analyzing factors affecting access to livelihoods assets of cotton growers in Pakistani Punjab. Sustainable agriculture and sustainable rural livelihoods lead to sustainable livelihoods where environment quality is taken into consideration. The study contains significant and new information.

This paper aims to examine the factors that drive the exporter’s influence toward halal meat supply chain adoption by encompassing the diffusion of innovation (DOI) theory in the context of Pakistan.

Using DOI as an underpinning theory, this study evaluates halal supply chain adoption by collecting data from the members of associations from Pakistan. A total of 258 useable responses were received, and PLS-SEM was adopted using SmartPLS.

The exporter’s adoption of the halal supply chain is determined not only by perceived relative advantage and perceived compatibility but also by perceived complexity, religious beliefs and awareness.

Though this study has practical and managerial implications, it has few limitations. Further studies need to be conducted in other contexts as well with a larger population.

There are limited studies that have tested DOI theory in the context of the halal meat supply chain in Pakistan. Therefore, the author extends the diffusion theory of innovation in the current work. Further, this paper will be a helpful reference guide for academicians, practitioners and researchers.

This study aims to map the “Desktop Research” (DR) output in Pakistan, as part of the growing field of research globally. It also ascertains the productive institutions and prolific authors along with their collaboration patterns.

Bibliometric techniques were used to quantitatively analyze the DR published in Pakistan. The publications from 1981 to 2021 were retrieved from Scopus. A total of 1,802 publications were retrieved and used for analysis.

Results indicated an unpredictable increase in DR output from approximately 100 to 400 records during the past five years. The year 2020 was most productive in DR research showing the excess use of secondary data by researchers in COVID-19. The focus of researchers towards DR was consistently rising. Medical journals were found to publish DR extensively. Majority of the publications were contributed by collaborative work and researchers of the USA were found as the most collaborative with Pakistani authors. Publications of single category journals, open access journals and international collaboration get more citations.

The results of the analysis rely only on a single database, Scopus, for retrieving the publication data.

The study has practical implications for the policymakers and higher education development organizations to introduce the DR as a course in academic schools.

To the best of the authors’ knowledge, this study is the first to review DR in the context of Pakistan through bibliometric analysis. This comprehensive overview provides a better understanding of the development of the field and possible practice implications.

The purpose of this paper is to develop understanding of the problems of classification, to discover the classification practices of libraries with rich collections on Islam cited in the literature, to find the gaps, and to determine the point from which to start work on further development.

Published and unpublished literature, both print and electronic, that is relevant to the problem was reviewed objectively in the compilation of this paper.

Standard classification systems lack proper space for materials on Islam for two reasons: less awareness on the part of devisers of the depth and variety of Islamic topics; and their bias and lack of interest in Islam. Different indigenous classification systems and expansions have been developed, using either the original notation or alternative notations. Some systems have been developed without following any standards or logic. This study has revealed a need for empirical study of libraries with rich collections on Islam in order to gain a better understanding of the problem and find an optimal solution.

No empirical field data are included in this study. This is a review of the literature.

The author indicates the current situation of the problem and a potential framework for its solution.

The purpose of this paper is motivated by research-based assertions that: the causes of economic growth in countries like India are not well understood; they are not elucidated by using simple bivariate relationships between economic growth and other variables, taken one at a time; and dynamic linkages between growth, trade openness and financial sector depth are required for any comprehensive treatment of this inquiry.

This paper investigates the pivotal role of financial depth (defined as the relative importance in the economy of the banking sector or the stock market) and whether it bears any evidential relationship to trade openness and economic growth during the era of Indian post-globalization since 1990. Two key objectives are to uncover whether there is a long-run relationship between the variables and whether they can be said to cause one another. Autoregressive distributive lag (ARDL) bounds testing procedures and vector autoregressive error correction model (VECM) approaches were used to derive the results.

This paper affirms that the variables are indeed formally cointegrated. It was also found that trade openness, economic growth and financial sector depth Granger-cause each other.

This paper demonstrates that greater trade openness can predictably accelerate India’s economic growth. If policymakers wish to maintain sustainable economic growth in India, they can do so by encouraging both freer trade and financial market development in the long run.

No investigation of this type and sophistication has hitherto been performed for India. The methods developed for this study can also be applied to any of the vast range of countries for which dynamic growth-openness-financial depth interactions have not already been investigated.

Drawing on the knowledge-based view (KBV), the study investigates the impact of entrepreneurial leadership (EL) on knowledge management (KM) processes and further examines the mediating role of KM processes on the linkage between EL and project success (PS).

Survey data were collected from 304 project workers in software projects, and the proposed relationships were assessed through SMART-PLS structural equation modeling tool.

The study found a significant impact of EL on KM processes and PS. The analysis also revealed that KM processes significantly impact project success while EL impact PS indirectly through KM processes.

The relevancy of the research stems from the scarcity of research on EL, while studies on the role of leadership as a predictor of KM are significantly limited. Additionally, there is a scarcity of research on the impact of KM on project success. This is one of the earliest studies that investigate the inter-relationship among EL, KM processes and project success.

Classification systems play a fundamental role in the organization, display, retrieval and access to the knowledge materials in libraries. These systems have served the purpose adequately in most of knowledge areas; nevertheless, some grey areas lack proper place and enumeration in these systems. Islamic knowledge is among the areas that have not been properly addressed. The purpose of this paper is to examine this problem and indicate a potential solution.

This paper expands on the author's earlier research which focused on Pakistan library collections. Empirical data have been collected from 16 LIS scholars who have interest in or expertise on this issue through interviews. Scholars are from Pakistan, India, Malaysia, Iran, Saudi Arabia, Egypt, the UK, the USA and Canada. A review of the literature is also presented.

A number of approaches have been taken to work around the deficiencies of the standard classification systems when it comes to Islamic knowledge and publications, including indigenous systems and expansions. Details of some of these are presented. A range of possible improvements to existing classification systems was suggested by scholars, and an outline of what is required in a new, independent system is discussed, along with ideas about the best way for this system to be developed.

The paper discusses an area of professional concern that has been discussed widely in Islamic countries, but only in a limited fashion outside of Islamic countries. Thus, the paper should be of interest to researchers and practitioners interested in cataloguing and classification theory.