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The purpose of this research study is to extract and identify named entities from Hadith literature. Named entity recognition (NER) refers to the identification of the named entities in a computer readable text having an annotation of categorization tags for information extraction. NER is an active research area in information management and information retrieval systems. NER serves as a baseline for machines to understand the context of a given content and helps in knowledge extraction. Although NER is considered as a solved task in major languages such as English, in languages such as Urdu, NER is still a challenging task. Moreover, NER depends on the language and domain of study; thus, it is gaining the attention of researchers in different domains.

This paper proposes a knowledge extraction framework using finite-state transducers (FSTs) – KEFST – to extract the named entities. KEFST consists of five steps: content extraction, tokenization, part of speech tagging, multi-word detection and NER. An extensive empirical analysis using the data corpus of Urdu translation of Sahih Al-Bukhari, a widely known hadith book, reveals that the proposed method effectively recognizes the entities to obtain better results.

The significant performance in terms of f-measure, precision and recall validates that the proposed model outperforms the existing methods for NER in the relevant literature.

This research is novel in this regard that no previous work is proposed in the Urdu language to extract named entities using FSTs and no previous work is proposed for Urdu hadith data NER.

The importance of e-government projects has been realized in the developed as well as in the developing countries of the world. The successful implementation of e-government projects is a challenging task. Public sector organizations are facing different sorts of challenges while executing e-government initiatives. The purpose of this paper is to explore issues/challenges related to e-government project implementation.

A systematic literature review (SLR) was conducted to understand the challenges of the e-government project, as mentioned in past research. The findings of this SLR helped in developing a proposed framework for e-government challenges. The proposed framework encompasses challenges and issues related to four main aspects such as technological, organizational, project management and enabling environment. These aspects need to be further explained for their remedial measures. For this purpose, an exploratory case study was conducted. The unit of analysis was one of the e-government projects of the ministry of IT. The interviews of the senior and middle management involved in the implementation of this project were conducted and transcribed.

The case study findings endorse a framework proposed. The findings of this research reflect the importance of creating a shared vision, adequate funding and good project management practices as an essential aspect of e-government implementation. Further, the importance of user-related issues such as involvement, capacity building and technical skills was also found critical in successfully executing and sustaining such initiatives in the organization. Further study findings provide necessary guidance for the senior management, which may help to develop effective strategies for the e-government projects in the organization.

The current study focused on developing a better understanding of the challenges commonly faced by organizations during e-government adoption and implementation related to organizational, project management, enabling environment and technological aspects.

This paper seeks to deal with an exploratory analysis of the impact of technological innovations on the extent of outreach of hospitality services to customers.

After a review of several hospitality services, two factors were selected to assess their outreach to customers: location of service provider; and direct or indirect service delivery mode.

Placing these factors on different axes, cells were created to distinguish innovative features of these services. It became apparent that, as the technological innovations develop, new categories of services are emerging. These categories were placed into six different cells identifying services based on their innovative characteristics. When the proximity of the service provider to the customer is less, the range of services involves: service and style improvements; service‐line extensions; and major service innovations. With the increase in distance between service provider and customer, service processes become prominent and involve: process improvements; process‐line extensions; and major process innovations. With the advancement of technology, services move from direct to indirect delivery mode in both service and service process innovations. In order to illustrate the assumptions, examples of services and technology used are provided.

Recommendations are provided for utilizing technology for enhancing services based on the location of their target markets. This is an exploratory analysis of the current situation, which will rapidly change with technological developments.

Findings led to the recommendations for service innovations, location of desired markets, and providing services to customers at near and far locations. Service providers and marketers can benefit by utilizing innovative technology suitable for reaching their selected target customers.

The work is a first step in studying services, technology use, and outreach to customers. Identifying service categories will help service marketers in locating their target market and providing services to customers using developing technology.

The purpose of this paper is twofold: to investigate the impact of franchisor support on quick service restaurant (QSR) users’ intranet acceptance; and to examine the technology acceptance model (TAM) to explain QSR users’ attitude toward the franchise intranet usage. Franchisors are building intranet systems as a communication tool to assist their franchisees in performing their jobs better. However, there is a little available literature that discusses in detail the use of the intranet by franchise systems.

This study adopted the TAM to investigate the acceptance of the intranet in the context of QSR franchise systems. The original TAM was modified to include an external variable, franchise support. A total of 161 returned and completed responses were examined. Descriptive analysis, validity, principal component factor analysis and regression analysis were used to estimate the relationships between constructs.

The key finding of this study is that franchise support is a key in the decision for users to use intranet systems in the QSR franchise systems. This study also confirmed that there are positive and significant relationships among key variables: franchise support, perceived usefulness of intranet, perceived ease of use of intranet, attitude toward using intranet and behavioral intentions to use intranet. Regression analysis revealed that TAM is a valid model in predicting intranet adoption in restaurant franchise systems.

This study pursued franchise support, which was not included in the original TAM, to see how it affects perceived ease of use, perceived usefulness and intention to use. In addition, a list of recommendations for improving the situation in that franchise organization is provided.

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.

The purpose of this paper is to understand the relative importance of ICT (Information and Communication Technology) based features and services at conference centers and underlying dimensions which could impact their selection by meeting planners. Further, it tests the relationship between types of meeting planners and their perceived importance of ICT‐based features.

A total of 17 ICT‐based features and services were identified through extensive literature content analysis. Meeting planners were asked to rate the importance of each item when they select a conference center. Factor analysis was then performed to identify underlying dimension of the items and ANOVA was used to test any difference of perceived importance by the type of meeting planners.

Meeting planners consider “availability of technical support”, “high‐speed internet”, “wireless connectivity”, and ”e‐mail station” as important features/service when they select a conference center. However, they show significant lack of knowledge in terms related to network infrastructure that are used in meeting venue marketing materials. The results show that there is no significant difference in their perceived importance of ICT‐based feature/service by the type of meeting planner.

This study provides meaningful new dimensions of important ICT‐based features and services in site selection by both researchers and meeting facility professionals. In addition, this study compared three types of meeting planners including rarely studied corporate and government meeting planners regarding their perceived importance of ICT‐based features and services in their site selection.

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.

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.

The aim of this paper is to systematically review the literature published in recognized journals focused on recognition-based heuristics and their effect on investment management activities and to ascertain some substantial gaps related to them.

For doing research synthesis, systematic literature review approach was applied considering research studies published within the time period, i.e. 1980–2020. This study attempted to accomplish a critical review of 59 studies out of 118 studies identified, which were published in reputable journals to synthesize the existing literature in the behavioural finance domain-related explicitly to recognition-based heuristics and their effect on investment management activities.

The survey and analysis suggest investors consistently rely on the recognition-based heuristic-driven biases when trading stocks, resulting in irrational decisions, and an investment strategy constructed by implementing the recognition-based heuristics, would not result in better returns to investors on a consistent basis. Institutional investors are less likely to be affected by these name-based behavioural biases in comparison to individual investors. However, under the context of ecological rationality, recognition-based heuristics work better and sometimes dominate the classical methods. The research scholars from the behavioural finance community have highlighted that recognition-based heuristics and their impact on investment management activities are high profile areas, needed to be explored further in the field of behavioural finance. The study of recognition-based heuristic-driven biases has been found to be insufficient in the context of emerging economies like Pakistan.

The skilful understanding and knowledge of the recognition-based heuristic-driven biases will help the investors, financial institutions and policy-makers to overcome the adverse effect of these behavioural biases in the stock market. This article provides a detailed explanation of recognition-based heuristic-driven biases and their influence on investment management activities which could be very useful for finance practitioners’ such as 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 its financial management strategies.

Currently, no recent study exists, which reviews and evaluates the empirical research on recognition-based heuristic-driven biases displayed by investors. The current study is original in discussing the role of recognition-based heuristic-driven biases in investment management activities by means of research synthesis. This paper is useful to researchers, academicians, and those working in the area of behavioural finance in understanding the role that recognition-based heuristics plays in investment management activities.

Knowledge acquired by employees from co-workers through social networks may serve to reduce technostress during the use of a new and complex information system. The role of gender-based employee preferences in forming and acquiring system-related knowledge through friendship, advice, and expertise networks, and the impact of network-embedded expertise on performance outcomes are explored.

The research hypotheses were empirically tested through survey data collected from employees of a large organization that had implemented an enterprise system.

The advice networks of female employees were an extension of their friendship networks, whereas that of male employees were configured to include co-workers with system-related expertise. Exposure to high quality knowledge flows resulted in lowered technostress levels among male employees compared to their female counterparts. However, there was only a marginal difference in performance outcomes. The “expertise-deficit” in the advice network of female employees was apparently compensated through their dependence on the helpdesk.

Research on system-related knowledge support through social networks has focused on the structural features of interaction ties with little or no emphasis on networking employees and their individual preferences. Moving away from this structural orientation, this study validates the contention that gender-driven motivations impact employee networking preferences, determine network-embedded expertise levels, and influence employee technostress. This study can help configure implementation environments that maximize network acquisition of high-quality knowledge, reduce technostress, and enhance performance outcomes.