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The main purpose of this paper is to examine the current practices related to e-resource collection development in management libraries of India with special reference to the National Capital Region (NCR) of Delhi with some constructive suggestions for improvement in this area.

A well-structured questionnaire was administered to the librarians of the nine management libraries under study.

The management libraries are actively involved in building e-resource collection. The budget allocation for purchase of e-resources has increased progressively over the years in majority of the libraries. The factors that, to a great extent, affect selection of e-resources include quality, subject coverage, license agreements and vendor support. The study found that libraries associated with management institutions such as ABS, DMS-IITD, FMS, BIMECH and FSM need to add more management-related databases.

The paper restricts the study exclusively to e-resources as the type of material and the librarians of nine major management institutions of NCR of Delhi as the respondents in its scope of discussion.

The study is of great importance to information professionals of similar management institutions in India. The recommendations made could also help solve some of the challenges that are being faced.

Very little is known about the electronic resource collection development practices followed in management institutes’ libraries of India owing to lack of significant research undertaken on the topic. This study is, therefore, significant because its findings fill up the existing knowledge gap in this area.

The purpose of this paper is to highlight some initial efforts within Her Majesty’s Prison and Probation Service (HMPPS) to develop digitally enabled services supporting the rehabilitation of service users. It is not designed to set out either HMPPS policy on digital rehabilitative services or the position of HMPPS Interventions Services on this subject. Rather, it is a short exposition of the authors’ views on the potential of digitally enabled strategies to enhance interventions in forensic settings. In this context, the authors will also describe the development of the first digitally enabled rehabilitation service accessed via HMPPS in-room computer terminals.

The authors have reviewed current literature and outlined how the authors have and are aiming to add to this area of work.

This general review outlines the authors’ views on the potential of digitally enabled strategies for improving interventions in forensic settings.

This paper is a short exposition of the authors’ views on the potential of digitally enabled strategies to enhance interventions in forensic settings. In this context, the authors will also describe the development of the first digitally enabled rehabilitation service accessed via HMPPS in-room computer terminals.

Faultline literature has been extensively examined for its effect on various outcomes. Barring a few exceptions, this research has primarily inferred the adverse impact of such splits. The purpose of this theoretical paper is to assert that these divisions can also be formed based on positive psychological capacities, which will cause a divide, but eventually help increase performance.

This paper offers a conceptual model that links employee psychological capital with the faultline literature and suggests its impact on team performance. It also explores the positive moderating effect of time and team goal orientation.

The study asserts that there will be an initial divide, but the positive faultlines will improve team performance. Several propositions are formulated that provide the opportunity for further examination.

This paper makes a contemporary and important conceptual contribution to the faultline literature by proposing a new notion: “positive faultlines.” To view the effect of faultlines from a positive perspective, a pioneering endeavor is made to explore the impact of employees’ psychological capital in teams. By integrating the faultline literature with positive organizational behavior, this study offers an alternative line of thinking on team compositional dynamics.

The study aims to present an in-depth review of previous research on relational demography (individual–team dissimilarity) over the past 30 years. In doing so, the authors highlighted the main theoretical underpinnings, teased out the common methodological approaches and identified the major mediating processes and contingency factors that influence relational demography's effect on individual outcomes in teams.

The authors searched and examined eight databases (ABI/INFORM Complete, ProQuest, EBSCO, Web of Science, JSTOR, PsycARTICLES, PsycINFO and Science Direct) and distilled 106 studies from 34 journals. The authors synthesized and analyzed this body of work to identify extant patterns and themes in relational demography.

The findings reveal that the majority of theories used are categorized into three segments. The antecedents used are mainly surface- and deep-level variables, while the outcomes are classified into personal- and work-related constructs. For research testing, Euclidean distance and Blau's index are primarily utilized as heterogeneity measures, while various forms of regression are used as the analytical tool for hypotheses testing.

Extant literature reviews on relational demography are scant. This study provides an extensive synthesis and analysis of the studies in the area over the past 30 years and offers an agenda that can motivate future research.

The study seeks to conduct an empirical investigation on the impact of entrepreneurship education (EE) through its components, i.e. entrepreneurial knowledge (EK) and business planning (BP) on entrepreneurial intentions (EI) in India.

An electronic questionnaire was used to collect data from 340 engineering students and partial least square-structural equation modeling (PLS-SEM) was used to analyze the collected data.

The findings revealed that EK and BP have no direct impact on EI, however, they have an indirect influence through attitude towards entrepreneurship (ATE) and perceived behavioral control (PBC), whereas subjective norms (SN) have no mediation impact on the relationships.

This research has been conducted on students of engineering background only, future studies can be carried out by incorporating more attitudinal and environmental determinants with larger data sizes from diverse educational streams.

This study is of immense significance to policymakers and educational establishments in designing the purposefully designed EE courses that can drive the entrepreneurial intentionality of students.

The study adds to the paucity of research on the systematic elaboration of EE construct underlining the specific impact of EK and BP as EE dimensions on students' EI. To the best of authors' awareness, this kind of investigation has not been conducted in indian higher educational institution (HEI) context.

Corporate leadership and environmental, social and governance (ESG) performance are closely intertwined, as effective corporate leadership can facilitate the achievement of strong ESG performance. Thus, the purpose of the study is to investigate the impact of corporate board leadership on the ESG performance of listed firms.

The sample has been taken from the listed firms of the Nifty 500 index spanning the period of 10 years from 2012 to 2022. Dynamic panel data estimations are applied through a fixed effect model.

The findings of this study revealed that board size, board independence and board qualification have a significant positive influence on ESG performance. It is evident that good corporate governance practices can positively influence ESG performance by fostering accountability, transparency and ethical behavior, as well as better integrating ESG considerations into their decision-making processes and ensuring that ESG issues are prioritized at the highest levels of management. Further findings also revealed that chief executive officer (CEO) duality has a significant negative relationship with ESG performance, which goes against the belief of stakeholder theory.

It has practical implications for policymakers, as they can enact new regulations pertaining to the CEO’s position in the organizations to make corporate governance responsible for improved sustainability and ESG performance.

There are very few studies analyzing the impact of corporate board structure on ESG performance related to emerging markets. Thus, this study contributes to that literature by using the methodology GMM panel data for the first time as per our knowledge

Small and medium enterprises (SMEs) have been reported as a credit-constrained sector in the earlier literature. Amidst the available external financing options, SMEs are dependent upon banks for their financial needs, hence they offer an important profitable segment for banks. Commercial banks need to develop effective targeting strategies for this segment and ranking the priorities of SMEs in selecting commercial banks will be of great help to them. The purpose of this paper is to implement a fuzzy analytic hierarchy process (FAHP) multi-criteria decision model for commercial bank’s selection by SMEs.

The research process was carried out in two phases. In Phase I, a self-structured scale was developed to measure bank selection criteria of SMEs after an extensive review of the literature of relevant studies on the topic. A sample of 600 SMEs was selected through non-proportionate quota sampling and only 313 valid responses were received. Phase II was conducted to prioritize the extracted factors through FAHP, a multi-criteria decision-making technique. For this purpose, another questionnaire was designed in the form of pair-wise evaluation and the response was taken on the same from those 313 SMEs again.

The results showed that SMEs bank selection criteria can be categorized under six heads, namely, bank attributes, accommodation of credit needs (AC), bank personnel, financial factors (FF), service quality (SQ) and business knowledge. The research study produced a reliable and valid instrument for studying the bank selection criteria of SMEs. The results further revealed that AC is the most important factor considered by SMEs followed by FF and SQ. Going further, global weights were also calculated through the FAHP which revealed that the most important consideration (variable) viewed upon by SMEs is willingness to accommodate credit needs followed by flexible collateral requirements and absence of hidden charges.

The results of the present study offer significant insights as to the factors SMEs consider while making a bank selection decision. It is of utmost importance for banks to identify true determinant factors used by SMEs while making bank choice decisions as they offer ample profit and revenue opportunities to banks. The results of the study provide a practical approach to banks that would help them in framing strategies for SMEs customers.

This is the first study of its kind which has not only focused on the hierarchy of factors measuring bank selection criteria of SMEs rather on the hierarchy of single variables also through the calculation of global weights. As banks cannot focus on all the dimensions of the criteria, they can focus on the spirit of that particular criteria.

Internal control systems are critical to an organization's efficiency and promotes the adherence to norms and rules. The purpose of this study is to evaluate the impact of internal control systems on banking industry effectiveness.

Data were collected from 15 commercial and 20 rural banks. The hypothesized relationships were supported by the data. A structural equation modeling was applied in testing the conceptual model and hypothesis. Confirmatory factor analysis was conducted to establish validity and reliability of the dimensions.

The results show that organizational effectiveness was significantly impacted by three dimensions of internal control systems: control activities, control environments and risk assessment. However, the impact of monitoring of control on organizational effectiveness was not significant. The results also show a nonsignificant impact of information and communication on organizational effectiveness.

Since the current study concentrated on the banking sector with its distinct characteristics, the generalizability of the conclusions may be limited.

The study's findings may aid decision-makers and stakeholders in the adoption, designing and implementation of proactive internal control system to enhance operational efficiency, effectiveness and competitive advantage.

The study advances the literature by empirically evidencing that internal control systems impact organizational effectiveness.

In past decades, artificial neural network (ANN) models have revolutionised various stock market operations due to their superior ability to deal with nonlinear data and garnered considerable attention from researchers worldwide. The present study aims to synthesize the research field concerning ANN applications in the stock market to a) systematically map the research trends, key contributors, scientific collaborations, and knowledge structure, and b) uncover the challenges and future research areas in the field.

To provide a comprehensive appraisal of the extant literature, the study adopted the mixed approach of quantitative (bibliometric analysis) and qualitative (intensive review of influential articles) assessment to analyse 1,483 articles published in the Scopus and Web of Science indexed journals during 1992–2022. The bibliographic data was processed and analysed using VOSviewer and R software.

The results revealed the proliferation of articles since 2018, with China as the dominant country, Wang J as the most prolific author, “Expert Systems with Applications” as the leading journal, “computer science” as the dominant subject area, and “stock price forecasting” as the predominantly explored research theme in the field. Furthermore, “portfolio optimization”, “sentiment analysis”, “algorithmic trading”, and “crisis prediction” are found as recently emerged research areas.

To the best of the authors’ knowledge, the current study is a novel attempt that holistically assesses the existing literature on ANN applications throughout the entire domain of stock market. The main contribution of the current study lies in discussing the challenges along with the viable methodological solutions and providing application area-wise knowledge gaps for future studies.

The current study assesses the contribution of entrepreneurship education (EE) in strengthening entrepreneurial attitudes (EAs) and entrepreneurial intentions (EIs) among engineering graduates in India.

Cross-sectional data were collected through an electronic questionnaire from 340 engineering students. Structural equation modeling was performed for hypothesis testing through SmartPLS4 software.

The findings demonstrated that EE, EA and EI are positively and significantly correlated. However, the moderation effect of gender on EE–EI linkage was found to be insignificant.

The study provides comprehensive insights to understand EE effectiveness on students' EI and further opens the path for future researchers to investigate how the inclusion of other constructs in theory of planned behavior and human capital theory can raise the EI among students. Future research should target a larger sample size comprising students from diverse educational streams.

The findings of this research offer various practical contributions for educational establishments, policymakers and the government in formulating constructive educational interventions that fully trigger the student's EIs.

This study adds to the scarce theoretical examination of EE–EI using the human capital approach in developing countries. In addition, this study is highly relevant to the scarce theoretical and empirical support for investigating the contribution of EE in HEIs in India.