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Drawing on stakeholder theory and contingency theory, this study empirically investigates the relationship between responsible leadership (RL) and each dimension of triple-bottom-line (TBL) performance. Moreover, we tested the mediating effect of corporate reputation (CR) and innovation between RL and TBL performance.

Perceptual data were collected from 227 senior-level Pakistani managers using a questionnaire survey. Structural equation modeling (SEM) was used to test the direct and mediating effect hypotheses.

The results revealed that RL significantly and positively affects each dimension of TBL performance. Further, innovation mediated the relationship between RL and each dimension of TBL performance. However, CR did not mediate the relationship between RL and environmental performance.

This is maiden study to empirically investigate the effect of RL on meso-level outcome. Further, this study would be among the few ones to use TBL as a measure of corporate performance. Moreover, it will be the first study to test the mediating role of CR and innovation in the above-mentioned relationship and will also validate contingency theory.

The purpose of this paper is to determine the impact on brand love of consumption experience at the dimensional level and to determine whether brand love mediates between consumption experience and customer engagement in the context of Generation M.

A sample of 265 Muslim smartphone users responded to a structured questionnaire adapted from existing literature. First, confirmatory factor analysis was carried out, and then data were analyzed through structural equation modeling using MPlus.

The findings indicate that hedonic pleasure and escapism directly, while flow, challenge and learning indirectly affect brand love and that brand love mediates the relationship between consumption experience and customer engagement.

This paper explicates Generation M’s consumption experience, ascertains ways to supplement their love for brand and engage them in gainful relationships and provides suggestions for further investigation. From a managerial perspective, the paper has implications for the management of consumer experience, identifies the most valuable dimensions of consumption experience and proposes that managers can develop customer-engagement strategies via brand love.

The paper validates the mediating role of brand love in the relationship between consumption experience and customer engagement; is the first to investigate the relationship between all dimensions of consumption experience and brand love; is one of few studies to investigate consumption experience, brand love and customer engagement in developing countries; and is one of first investigations to use a sample of Generation M.

Despite the importance of top management team (TMT) gender diversity in a firm's strategic decisions and the high degree of innovation activities that several firms have experienced in recent years, little or no research has examined how TMT gender diversity affects a firm's open innovation decision. The authors examine how TMT gender diversity impacts firms' open innovation activities. The authors further examine how this impact is affected by women executives' personal attributes and institutional conditions.

The sample comprised of 62,745 firm-year observations (9,831 firms) from 25 countries from 1990 to 2010. The authors employed the system generalized method of moments (GMM) estimation technique to estimate the results.

Employing novel panel data on co-owned patents across 25 economies, the authors find that proportion of women in TMTs has a positive impact on open innovation activities. Moreover, the authors find that women managers' power and institutional gender parity strengthen the association between gender diversity and open innovation.

The findings of this study indicate that firms committed to optimizing their open innovation policies and practices should include women in TMTs and create such conditions that are supportive for women executives to effectively express their innate inclinations. Importantly, our study supports the business case for gender diversity in top leadership positions by providing a compelling evidence for the positive impact of TMT gender diversity on open innovation.

This study contributes to the gender diversity literature by showing how women leaders' values and character become embedded in their companies' strategy and present empirical evidence that having women in TMTs increase the likelihood of conducting open innovation. Further, the authors show how women executives' power and institutional level gender parity provide boundary conditions that moderate the relationship between TMT gender diversity and open innovation.

The purpose of this study is to develop a precise Islamic securities index forecasting model using artificial neural networks (ANNs).

The data of daily closing prices of KMI-30 index span from Aug-2009 to Oct-2019. The data of 2,520 observations are divided into training and test data sets by using the 80:20 ratio, which corresponds to 2016 and 504 observations, respectively. In total, 25 features are used; however, in model selection step, based on maximum accuracy, top ten indicators are selected from several iterations of predictive models.

The results of feature selection show that top five influencing indicators on Islamic index include Bollinger Bands, Williams Accumulation Distribution, Aroon Oscillator, Directional Movement and Forecast Oscillator while Mesa Sine Wave is the least important. The findings show that the model captures much of the trend and some of the undulations of the original series.

The findings of this study may have important implications for investment and risk management by using index-based products.

Numerous studies proved that traditional econometric techniques face significant challenges in out-of-sample predictability due to model uncertainty and parameter instability. Recent studies show an upsurge of interest in machine learning algorithms to improve the prediction accuracy.

Factors associated with the use of long‐term plans in management compensation contracts and the choice between earnings‐based performance plans and market‐based long‐term plans are examined. Results indicate the firms using long‐term plans are large, have diffuse ownership and more long‐term growth. Furthermore, performance plans are more likely to be used when stock‐return variability is high relative to earnings variability. Firms using performance plans are also larger and have more diffuse ownership than firms with market‐based plans alone. Overall, the evidence is consistent with long‐term plans serving as incentive alignment mechanisms.

The purpose of this study is to examine whether chief executive officers’ (CEOs’) stock-based compensation has any relationship with disclosure of high proprietary information.

Drawing on agency and proprietary cost theory, this study examines whether compensating CEOs based on equity value through the grants of stock option and restricted stock will affect different firms with high proprietary costs versus general costs of disclosures. The authors further explore the cross-sectional variation on the relationship between stock-based compensation and disclosures of high proprietary cost information. In particular, the authors examine certain circumstances under which stock-based compensation has a stronger effect in discouraging managers to make disclosures of product-related information. This study conducts an empirical investigation on the relationship by using hand-collected data on the product-related disclosures of biotechnology firms and by developing new disclosure indices to capture the product developments in the preclinical and clinical stages.

The authors find that on average, managers’ stock-based compensation does not have any significant relationship with the proxy of high proprietary disclosure index. More importantly, the authors find that managers with more equity-based compensation (in the total pay) make fewer disclosures of high proprietary cost information when they have a stronger need to protect such information. Specifically, the authors find a negative relationship between equity-based compensation and managers’ disclosure of high proprietary cost information when their firms’ product development is in early stage, when the corporate board mainly consists of directors with lack of sufficient knowledge on technology, and when firms are a leader in an industry in terms of market share.

The authors acknowledge two limitations of the current study. First, the authors cannot completely rule out the possibility that the results are still subject to endogeneity issues such as reverse causality or omitted correlated variables even though the authors control for other important variables that affect disclosures and granting of stock-based compensation (including firm size, leverage, analyst following, institutional ownership and corporate governance) and use the lagged variable of stock-based compensation in the regression model. Second, given that the authors examine a small sample (only 10 per cent of firms in the biotechnology industry) due to the required hand-collection of product-related information, the generalizability of the results may be limited.

The study contributes to the literature in two important ways. First, the findings can add to the literature on the effect of stock-based compensation on managers’ disclosures. While previous studies suggest that compensating via stock options and restricted stocks can incentivize managers in enhancing firm disclosures in general (e.g. Nagar et al., 2003), the authors provide evidence suggesting that it may not always be the case. When disclosing information involves high proprietary cost, stock-based compensation can sometimes motivate managers not to reveal information. The study also complements Erkens (2011), who finds that firms offer stock-based compensation to their managers as an attempt to prevent the leakage of research and development (R&D)-related information to competitors. Second, the study can contribute to the extant literature that examines the importance of proprietary costs on firms’ disclosure decisions. The authors attempt to respond to the call for more research in this area (Beyer et al., 2010) by focusing on one specific industry, the biotech industry and by using a novel proxy for the proprietary costs based on the stage of product development for a drug-related product in that industry. As it has been challenging for researchers to properly measure proprietary costs of disclosures, the setting of the biotech industry provides a particularly strong empirical identification to potentially pinpoint the proprietary costs.

Open educational resources (OERs) are internet-based digital content that is used for academic purposes by instructors, students and researchers in the era of the information economy. Hence, this study aims to systematically review the literature, focusing on OERs’ benefits and challenges in the academic world.

The relevant literature systematically reviewed following the preferred reporting items for systematic literature reviews and meta-analyses (PRISMA) guidelines. The pertinent literature was obtained from four main scholarly databases, and finally, 21 papers that met the inclusion criteria were included in this study.

The findings revealed that the key benefits of OERs include expanded access to knowledge, supporting lifelong learning, pedagogical benefits and enhancing students’ learning outcomes. However, the key challenges include lack of time to find appropriate resources, lack of awareness about the usage and copyrights, quality assurance and technological limitations and lack of organizational support.

The practical and policy implications highlight the joint venture of academia and library professionals to help the students evaluating OERs, quality assurance, copyright issues and lifelong learning.

Earlier studies missed few significant insights of OERs, such as they did not address the quality assurance of OERs; the issue of understanding of copy right (creative common license) challenges related with OERs; and lack of time for finding suitable resources. Hence, this study identified significance insights related with OERs.

The purpose of this study was to identify the effects of emerging technologies in e-learning on university librarians and libraries. The study also intended to identify emerging technologies in e-learning and challenges being faced to implement e-learning technologies.

The preferred reporting items for the systematic review and meta-analysis method was applied as the research methodology for conducting the study. A total of 25 core studies published in peer-reviewed journals were selected to conduct a systematic literature review. The data were analysed through a thematic approach.

The results of the study revealed that e-learning technologies assist library professionals to strengthen their expertise and support them in initiating smart library services to deliver customer-focused services. A shortage of skilled manpower, the unavailability of adequate IT infrastructure, a lack of technical support, copyright issues, poor planning and ineffective library leadership are major challenges to implementing emerging technologies in e-learning.

The study offers theoretical implications by adding valuable literature to the existing body of knowledge. It has a societal impact as it has offered recommendations and practical solutions for the successful adoption of emerging technologies in e-learning. The study also offers managerial implications to develop fruitful policies for implementing e-learning technologies for the innovative sustainable competence development of library manpower and implementation of smart library services.

Research data management (RDM) has been called a “ground-breaking” area for research libraries and it is among the top future trends for academic libraries. Hence, this study aims to systematically review RDM practices and services primarily focusing on the challenges, services and skills along with motivational factors associated with it.

A systematic literature review method was used focusing on literature produced between 2016–2020 to understand the latest trends. An extensive research strategy was framed and 15,206 results appeared. Finally, 19 studies have fulfilled the criteria to be included in the study following preferred reporting items for systematic reviews and meta-analysis.

RDM is gradually gaining importance among researchers and academic libraries; however, it is still poorly practiced by researchers and academic libraries. Albeit, it is better observed in developed countries over developing countries, however, there are lots of challenges associated with RDM practices by researchers and services by libraries. These challenges demand certain sets of skills to be developed for better practices and services. An active collaboration is required among stakeholders and university services departments to figure out the challenges and issues.

The implications of policy and practical point-of-view present how research data can be better managed in the future by researchers and library professionals. The expected/desired role of key stockholders in this regard is also highlighted.

RDM is an important and emerging area. Researchers and Library and Information Science professionals are not comprehensively managing research data as it involves complex cooperation among various stakeholders. A combination of measures is required to better manage research data that would ultimately move forward for open access publishing.

This analysis is the first to explore the overall roles of the offsetting attraction and distraction influences of earnings news in shaping the level of attention given to the equity market by market participants.

We use multivariate regression approach and examine how trading activity levels within the set of non-announcing firms varies with respect to collective measures of contemporaneous earnings announcement visibility. We employ attention and information transfer theories in our hypothesis development.

This analysis is the first to explore the overall roles of the offsetting attraction and distraction influences of earnings news in shaping the level of attention given to the equity market by market participants. Specifically, we examine how the number of earnings announcement activity affects investor attention as measured by trading volume given to the set of non-announcing firms. We find that while earnings announcement numbers lower trading volume responses to earnings news among announcing firms (consistent with Hirshleifer et al., 2009), their distractive influence does not carry over into the market as a whole. More importantly, investor attention to both the overall market and the larger subset of non-announcing firms increase in response to earnings news activity levels. However, after decomposing the announcers as same-industry and different-industry announcers, we find that investor attention to the non-announcing segment of the market increases with the number of same-industry announcers, but actually seems to decrease (i.e. they distract attention) with the number of different-industry announcers. We also find that the associated earnings surprise brings attention to non-announcing firms (consistent with earnings news is relevant to overall market price movements). Finally, we find that distraction effects are attenuated in the financial crisis period.

A promising area of future research is to examine the relation between market pricing efficiency and aggregate earnings activity for the set of non-announcing firms. Although it will be a challenging task to measure pricing efficiency for the non-announcers, this will complement the prior literature only focusing on the announcing segment of the market.

First, instead of assessing the impact of number of earnings announcements on the subset of announcing firms, which is a micro-level perspective, we identify the impact of news arrivals on all firms in the market including the vastly larger set of non-announcing firms. Second, by decomposing the number of announcements into industry-related and -unrelated news we show that different types of news arrivals spark investor attention differently, suggesting the importance of categorizing the news into related and unrelated industries.

A potential future area of research identified by our analysis is to investigate what type of investors' attention is distracted or attracted during the earnings announcements. A promising area of future research is to examine the relation between market pricing efficiency and aggregate earnings activity for the set of non-announcing firms.

This paper is the first one exploring the overall roles of the offsetting attraction and distraction influences of earnings announcements in shaping the level of investor attention given to the equity market by market participants. Our findings should be of interest to investors, analysts, security market regulators and researchers.