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The purpose of this study is to investigate the post–enterprise resource planning (ERP) issues and challenges in the context of Saudi Arabia. There is a lack of research in the context of developing countries regarding post-ERP implementation issues and challenges. The high failure rate of the ERP system is a reflection of many management issues that occurred at different phases of ERP implementation. Previous research indicated that even after a successful implementation, the ERP system was unable to sustain itself in the organizations.

An exploratory case study design was adopted to proceed with this research process at two organizations in Saudi Arabia. The interviews of the top and middle management are conducted and transcribed. These case studies were further analyzed using the Creswell approach to generate several themes, and descriptions provided a deeper understanding of the post ERP implementation issues and challenges.

Research findings show that for successful ERP implementation, identified factors are top management support, integration, strategy, employee resistance, BPR, change management, vendor selection, team formation and culture. Moreover, factors for the post-ERP implementation that led to sustainability are top management support, training, system adoption, system testing, data migration, cost overrun, employee retention and post-implementation support.

This study is unique in its type to examine the issues and challenges organizations face after deploying ERP initiatives. This research's findings were useful and supportive for the senior management interested in successfully sustaining such an initiative in the organization.

This study aims to evaluate the nature and extent of sustainability disclosure practices of publicly listed companies in India. Further, it investigates the impact of potential determinants on the sustainability disclosure of companies.

The study analyzes data of 75 top listed nonbanking companies operating in India included in NIFTY100 Index for the years 2014-2015 to 2018-2019. In the present study, environment, social and governance disclosure dimensions were considered to evaluate the sustainability reporting performance of companies using content analysis. Panel data analysis was conducted to investigate the impact of various factors on the extent of sustainability information disclosure.

Results indicate that environmentally polluting industries disclose significantly higher sustainability information than non-polluting industries in India. The empirical findings suggest that determinants such as company size, age, free cash flow capacity, government ownership and global reporting initiative (GRI) usage positively related to the extent of corporate sustainability disclosure. Contrary to the expectations, financial leverage and profitability were found to be negatively related to the sustainability disclosure of companies in India.

This study provides empirical evidence for regulators, practitioners and corporate strategists to assess the progress in the sustainability reporting landscape in India. The finding implies that large and established companies can reduce legitimacy costs through higher sustainability information disclosure. Interestingly, this premise did not hold in the case of high leveraged and profitable companies. Overall findings can also help policymakers to incorporate necessary reforms to improve sustainability reporting in India.

This study is one of the first studies to investigate the nature, extent and potential determinants of corporate sustainability disclosure in India. The paper adds to the existing literature on sustainability reporting by providing empirical evidence on the relationship between sustainability reporting and potential determinants such as government ownership, size, leverage, profitability, age, free cash flow capacity, industry and GRI usage.

The purpose of this study is to conduct a bibliometric analysis to discover the published information on the subject of “Library Automation Software.”

This study is based on bibliometric research to analyze the growth of literature on the subject area “Library Automation Software.” The data were retrieved from the leading database Web of Science to analyze the scholarly publications on the topic during 2001–2022. To analyze the bibliometric data on the subject, the VOSviewer, Biblioshiny and MS Excel software were used.

Results manifest that the topic of “Library Management Systems” has been greatly used by several authors as a title to publish their research work. The USA emerged as the most productive country. The most used keywords to retrieve literature on the topic were “Library Automation,” “Library Management Systems,” “KOHA,” “Integrated Library Systems” and “Open Source Software.”

To the best of the authors’ knowledge, this is the first bibliometric study in Pakistan that has been conducted to measure the productivity of literature at the international level on library automation.

The purpose of this article is to present the idea of a T-spherical hesitant fuzzy set associated with probability and to develop an extended multi-attributive border approximation area comparison (MABAC) method under probabilistic T-spherical hesitant fuzzy (Pt-SHF) settings.

The authors define some basic operational laws for Pt-SHF sets (Pt-SHFSs) and a comparison method of two probabilistic T-spherical hesitant fuzzy numbers (Pt-SHFNs) is proposed. Moreover, some Pt-SHF aggregation operators and the multi-attributive border approximation area comparison (MABAC) method are established under Pt-SHF scenario to solve group decision making problems.

The developed Pt-SHF MABAC method for multi-attribute group decision making (MAGDM) can overcome the drawbacks of conventional MABAC method and limitations for decision makers, which they face while providing their assessment concerning any object.

Clearly, this paper is devoted to MABAC method, MAGDM and probabilistic T-spherical hesitant fuzzy set theory.

The approach established can be used in a variety of scenarios, including decision making, engineering, and economics. An explanatory example is illustrated which shows the superiority and effectiveness of our proposed technique.

If a T-spherical fuzzy MAGDM problem under the probabilistic scenario needs to be evaluated, the involvement of probabilities in fuzzy system will be lost because of no information. This work fills a gap in literature by establishing the notion of probabilistic t-spherical hesitant fuzzy set to deal with the ambiguity, uncertainty in decision making problems.

This article aims to systematically review the literature published in recognized journals focused on cognitive heuristic-driven biases and their effect on investment management activities and market efficiency. It also includes some of the research work on the origins and foundations of behavioral finance, and how this has grown substantially to become an established and particular subject of study in its own right. The study also aims to provide future direction to the researchers working in this field.

For doing research synthesis, a systematic literature review (SLR) approach was applied considering research studies published within the time period, i.e. 1970–2021. This study attempted to accomplish a critical review of 176 studies out of 256 studies identified, which were published in reputable journals to synthesize the existing literature in the behavioral finance domain-related explicitly to cognitive heuristic-driven biases and their effect on investment management activities and market efficiency as well as on the origins and foundations of behavioral finance.

This review reveals that investors often use cognitive heuristics to reduce the risk of losses in uncertain situations, but that leads to errors in judgment; as a result, investors make irrational decisions, which may cause the market to overreact or underreact – in both situations, the market becomes inefficient. Overall, the literature demonstrates that there is currently no consensus on the usefulness of cognitive heuristics in the context of investment management activities and market efficiency. Therefore, a lack of consensus about this topic suggests that further studies may bring relevant contributions to the literature. Based on the gaps analysis, three major categories of gaps, namely theoretical and methodological gaps, and contextual gaps, are found, where research is needed.

The skillful understanding and knowledge of the cognitive heuristic-driven biases will help the investors, financial institutions and policymakers to overcome the adverse effect of these behavioral biases in the stock market. This article provides a detailed explanation of cognitive heuristic-driven biases and their influence on investment management activities and market efficiency, which could be very useful for finance practitioners, such as an investor who plays at the stock exchange, a portfolio manager, a financial strategist/advisor in an investment firm, a financial planner, an investment banker, a trader/broker at the stock exchange or a financial analyst. But most importantly, the term also includes all those persons who manage corporate entities and are responsible for making their financial management strategies.

Currently, no recent study exists, which reviews and evaluates the empirical research on cognitive heuristic-driven biases displayed by investors. The current study is original in discussing the role of cognitive heuristic-driven biases in investment management activities and market efficiency as well as the history and foundations of behavioral finance by means of research synthesis. This paper is useful to researchers, academicians, policymakers and those working in the area of behavioral finance in understanding the role that cognitive heuristic plays in investment management activities and market efficiency.

This study aims to identify the impact of ethical leadership on ethical voice by determining two paths covering relational identification and psychological safety. The first path focused on relational identification and psychological safety. Alternatively, the second path focused on organizational identification and psychological ownership leading to ethical voice. The specific objective of the study is to develop and test an integrated model of ethical leadership.

The objectives were achieved through the adoption of quantitative research techniques. Two hundred forty-eight samples were collected from the banking sector using quantitative research techniques, and data was gathered through a self-administrated questionnaire. Exploratory and confirmatory factor analyses were used through AMOS to generate the results and test hypotheses.

The results suggested a significant impact of ethical leadership on ethical voice, while the other paths’ results, such as relational identification, psychological safety, organizational identification and psychological ownership, suggested partial mediation. The study result adds new insights into ethical leadership and social exchange theory since it tested overlooked paths in the literature, such as relational identification and psychological safety.

The research highlights the significance of ethical voice as a desirable organizational behavior. Ethical voice contributes to a culture of accountability, transparency and ethical decision-making. Organizations should establish channels and platforms for employees to voice ethical concerns and suggestions. This may involve regular feedback sessions, anonymous reporting mechanisms and protection policies for whistleblowers. Leaders should actively encourage and value ethical voices as a valuable contribution to the ethical climate of the organization.

The study found that ethical leaders influence their followers in such a way that they adopt ethical behavior. It is also validated that organizational ethics are shared by employees who interact with ethical leaders. So, departments should train such leaders because ethical leadership positively affects followers’ attitudes and behaviors, and organizations should encourage ethical behavior in supervisors and subordinates. The study also found that relational and organizational identification helps employees develop psychological capabilities, which leads to reporting workplace misconduct. The current study tested these mechanisms collectively and found that ethical leadership significantly contributes to ethical voice.

The current study highlighted the role of ethical leaders in promoting ethical behavior, improving employee well-being and engagement, cultivating collaboration and inclusion, and making a contribution to the overall ethical climate within organizations and society as a whole. Organizations can have a positive impact on the social fabric by cultivating a culture of ethics, respect and social responsibility if they make these considerations their top priorities.

The current study is unique since it is intended to develop and test an integrated model of ethical leadership and ethical voice. This research combines an integrated model, focusing on employees’ identities and self-concepts and examining ethical voice as a behavioral outcome.

Several graphs, streamlines, isotherms and 3D plots are illustrated to enlighten the noteworthy fallouts of the investigation. Embedding flow factors for velocity, induced magnetic field and temperature have been determined using parametric analysis.

Ternary hybrid nanofluids has outstanding hydrothermal performance compared to classical mono nanofluids and hybrid nanofluids owing to the presence of triple tiny metallic particles. Ternary hybrid nanofluids are considered as most promising candidates in solar energy, heat exchangers, electronics cooling, automotive cooling, nuclear reactors, automobile, aerospace, biomedical devices, food processing etc. In this work, a ternary hybrid nanofluid flow that contains metallic nanoparticles over a wedge under the prevalence of solar radiating heat, induced magnetic field and the shape factor of nanoparticles is considered. A ternary hybrid nanofluid is synthesized by dispersing iron oxide (Fe3O4), silver (Ag) and magnesium oxide (MgO) nanoparticles in a water (H₂O) base fluid. By employing similarity transformations, we can convert the governing equations into ordinary differential equations and then solve numerically by using the Runge–Kutta–Fehlberg approach.

There is no fund for the research work.

This kind of study may be used to improve the performance of solar collectors, solar energy and solar cells.

This investigation unfolds the hydrothermal changes of radiative water-based Fe₃O₄-Ag-MgO-H₂O ternary hybrid nanofluidic transport past a static and moving wedge in the presence of solar radiating heating and induced magnetic fields. The shape factor of nanoparticles has been considered in this study.

Due to the unprecedented disruptions in business operations, many organisations are turning to Cloud ERP implementation to ensure employees can access real-time business information from anywhere, enabling the continuity of business activities. As a result, over the past decades, literature on Cloud ERP implementation has seen significant growth across different subject areas. This paper aims to present a systematic literature review (SLR) that consolidates the literature scattered across various multidisciplinary subject areas, explores recent developments and identifies knowledge gaps for more impactful future research.

An SLR approach has been applied to a sample of 73 articles published until 1 February 2022.

Our SLR identifies and consolidates a set of critical enablers and barriers to the implementation of Cloud ERP. What is particularly interesting is that this study established a link between these enablers and barriers and four key innovation outcomes: product, service, process and business model innovations. A rigorous framework has been devised that demonstrates the nexus between enablers and barriers to Cloud ERP implementation and innovation outcomes in an organisation. In addition, this study has recognised several organisational theories from information systems literature that have the potential for future research in this emerging area.

This SLR makes several theoretical contributions to the literature on Cloud ERP implementation and its impact on innovation outcomes.

The review consolidates a wide range of literature to provide decision-makers with an integrated understanding of the most influential factors in Cloud ERP implementation.

SLR provides a comprehensive analysis of the current state of research on the topic, offering unique perspectives on developments in theory and knowledge gaps, as well as identifying future research opportunities in the area.

This study investigates the crucial link between sustainable practices and organizational development, focusing on sustainable knowledge management (SKM), green innovation (GI) and corporate sustainable development (CSD) in diverse Pakistani organizations.

This study employs a comprehensive research methodology involving advanced statistical techniques, such as confirmatory factor analysis, structural equation modeling and hierarchical linear modeling. These methods are instrumental in exploring the complex interrelationships between SKM, GI, moderating factors and CSD.

This research generates significant findings and actively contributes to sustainable development. The following sections (Sections 4 and 5) delve into the specific findings and in-depth discussions, shedding light on how industry regulation, organizational sustainability priorities, workplace culture collaboration and alignment between green culture and knowledge management practices influence the relationships between SKM, GI and CSD. These findings provide valuable insights for the research community and organizations striving for sustainability.

The study’s findings have practical implications for organizations seeking to enhance their sustainability efforts and embrace a socially and environmentally conscious approach to organizational growth.

This study contributes to the literature on sustainable practices and organizational development. Researchers and business people can learn a lot from it because it uses advanced econometric models in new ways and focuses on the link between knowledge management, GI and sustainable corporate development.

The purpose of this study is to investigate the mediating role of intellectual capital (IC) on the association between corporate governance mechanism (CGM) and the financial efficiency of Islamic banks (Z-score, net investment income and loan to deposit) and verify it through standard mediation in the panel based on interaction.

The data of this study draws from 125 full-fledged Islamic banks and windows from 26 Organization of Islamic Cooperation (OIC) over the period of 2009 to 2019. A two-step system generalize method of moment estimation is used to test the hypotheses.

The results underwrite that the inclusion of IC as a mediating variable has influenced positively the corporate governance and financial efficiency of IBs. Besides, only CEO power and Shariah supervisory board positively affect the financial efficiency of IBs. While structural capital and relational capital positively affect the financial efficiency of IBs. Apart from that, results show that the CGM has a significant relationship with the IC value of IBs.

These findings are valuable for policymakers and regulators to set policies to improve CG structure and effective use of IC resources to improve banking efficiency. Additionally, findings might be helpful for the bankers to proficiently use the IC as a premise to plan new strategies to get an upper hand in financial performance.

This study extends and contributes to the current literature by analysing the role of IC along with CG to boost the financial efficiency of banks in OIC countries.