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Grounded in the framework of social learning theory (SLT), the current study explores the impact of leaders’ unethical proorganizational behavior (UPB) on their subordinates’ self-management and moral self-efficacy, which, in turn, affect knowledge hiding and sharing among followers. This study aims to examine how instrumental thinking influences the relationship between leader UPB and subordinate behaviors, shaping knowledge sharing and hiding.

Using a longitudinal approach, this research uses a two-wave data collection strategy with a one-month interval. The study cohort comprises 378 employees drawn from technology service firms situated in China.

Empirical findings confirm that leader UPB is linked to increased follower self-management and knowledge hiding, as well as reduced moral self-efficacy. Instrumental thinking moderates these effects, amplifying knowledge hiding and diminishing moral self-efficacy while reducing knowledge sharing.

The study contributes to the existing literature on UPB by offering insights into the distinct consequences of leader UPB on knowledge-related behaviors of followers. Furthermore, the exploration of employees’ instrumental thinking in the context of leader UPB underscores the strategic manipulation of knowledge to fulfill individual goals, thereby enriching the underpinnings of the SLT. The study underscores the imperative for organizations to grasp the implications of UPB and underscores the necessity for stringent ethical frameworks to mitigate its deleterious impact.

The study contributes to the existing literature on UPB by offering insights into the distinct consequences of leader UPB on knowledge-related behaviors of followers. Furthermore, the exploration of employees’ instrumental thinking in the context of leader UPB underscores the strategic manipulation of knowledge to fulfill individual goals, thereby enriching the underpinnings of the SLT. The study underscores the imperative for organizations to grasp the implications of UPB and underscores the necessity for stringent ethical frameworks to mitigate its deleterious impact.

The present study addresses a gap in the current literature by elucidating the multifaceted outcomes of leaders’ UPB on paradoxical behaviors related to knowledge sharing and hiding among followers. This nuanced examination underscores the need to comprehend the intricate contingencies that accentuate the effects of UPB, particularly in the realm of leadership dynamics. Grounded in SLT, this study delves into leadership dynamics and ethical decision-making.

The purpose of this study is to investigate the impact of enterprise social media (ESM) use on two trust dimensions – affect-based trust (ABT) and cognition-based trust (CBT) – as mediators in the relationship between ESM use and knowledge sharing. In the first stage of the proposed model, the authors also consider transparent communication (TC) and personal blogging with colleagues (PBC) during work and non-work hours as moderators that reshape trust levels and subsequently promote knowledge sharing within the organisation.

The authors collected the data in three waves from employees in China, the world’s largest market for social media. Five companies, including three information technology companies and two software companies, were targeted for data collection. Initially, a total of 403 ESM users were recruited, but the final sample in the final round was reduced to N = 292. The authors used Mplus (v8.5) to calculate direct path coefficients and indirect moderated-mediation effects.

The use of ESM promotes ABT and CBT, thereby improving knowledge sharing. ABT and CBT both fully mediate the effect of ESM use on knowledge sharing. However, the research reveals paradoxical findings regarding moderation. For example, on the one hand, TC negatively moderates the association between ESM use and ABT, thereby reducing knowledge sharing in the workplace. On the other hand, TC strengthens the relationship between the use of ESM and CBT, thereby increasing knowledge sharing. These contradictory findings indicate that TC functions as a double-edged sword; thus, the effective use of ESM in the workplace requires managers’ intervention. Finally, the analysis reveals that the moderating role of PBC strengthens the association between ESM use and both ABT and CBT, thereby increasing knowledge sharing.

While stakeholders have expressed concern regarding the adverse impacts of workplace ESM adoption on employee performance, the authors provide a broad, novel perspective on the potential of ESM use to enhance knowledge sharing via trust (i.e. ABT and CBT). To the best of the authors’ knowledge, this is the first study to offer a comparative view of trust dimensions, such as ABT and CBT, and to discuss how, why and when TC and PBC interactions moderate the relationship of ESM to ABT and CBT and thereby lead to knowledge sharing. These interesting findings guide further research into the role of ESM in the workplace, especially research based on rational choice theory and communication visibility theory, by illuminating the ways in which employees can use ESM to reshape social communication in the workplace and thereby enhance knowledge sharing.

The phenomenon of mobile social networking site (SNS) addiction has become increasingly severe nowadays and brings adverse outcomes to users’ daily life and work efficiency. However, there are relatively few research probes into the formation process of mobile SNS addiction behavior, and how demographic factors (e.g. gender and age) influence users’ addiction behavior. Adopting the stimulus–organism–response (S–O–R) framework, this study examines the effects of three types of technological functions (enjoyment, sociability and information value) on flow in relation to mobile SNS addiction. The authors further proposed gender and age as moderators, which play important roles in influencing the formation of mobile SNS addiction behavior.

This study examines the formation of mobile SNS addiction with a particular focus on the WeChat app. The authors use a field survey study conducted in China with 351 subjects of WeChat app users to examine thestudy model.

The results demonstrate that addictive behavior is determined by users’ flow states of using mobile SNS. The flow states, in turn, are influenced by three types of technological functions (enjoyment, sociability and information value). In addition, gender and age act as vital moderators in the model.

First, the authors empirically examine the formation of SNS addiction on the mobile device by adopting the S–O–R framework, which may enrich the addiction literature. Second, the authors reveal the moderating roles of age and gender in affecting the formation process of addiction behavior further. The findings of this research deepen our understanding of users’ addiction behavior. Third, the findings also offer rich insights to prevent mobile SNS addiction.

This study investigates the integration of information technology (IT) competencies with organizational inclusion initiatives and its impact on firm performance. It examines the role of organizational inclusion in promoting knowledge management capability (KMC) and the moderating effect of approach and avoidance motivation on the relationship between KMC and operational performance.

The study is grounded in the resource orchestration theory (ROT), which conceptualizes the integration of IT competencies and organizational inclusion. It employs hierarchical regression analysis on data collected from 204 firms and 374 managerial respondents to test the proposed hypotheses.

The results indicate that IT competencies enhance the relationship between organizational inclusion and KMC. Additionally, the relationship between KMC and operational performance is weaker when employees exhibit higher levels of avoidance motivation.

This study offers theoretical and managerial insights for integrating IT competencies into organizational inclusion initiatives, providing guidance for organizations seeking to enhance their performance, with a specific focus on the relevance of China as the research context.

This study enriches the scholarly discourse by examining the underexplored integration of IT competencies with organizational inclusion, notably in the context of China. It illuminates the moderating role of motivation in the KMC-operational performance relationship, benefiting both academia and practitioners. Furthermore, this work extends the literature by demonstrating how combining organizational inclusion and IT competencies can enhance workplace KMC, connecting it to internal knowledge resources. Theoretical implications extend beyond organizational inclusion and IT to show the broader application potential of ROT in management and information systems.

The aim of this research is to examine the selection criteria of customers for Islamic home financing in the context of Pakistan and to examine these factors with respect to gender, age, income, and occupation.

This study uses a quantitative approach to investigate the choice criteria for Islamic home financing. All 18 independent variables are taken from previous research; for their analysis, descriptive statistics, independent sample t‐tests and ANOVA was used. Data were gathered from the customers of Islamic banking who use the services of Islamic home financing. The sample consists of 200 respondents. For the collection of data, a survey questionnaire with closed‐ended questions and a five‐point Likert scale was employed. The questionnaire was designed into two sections, one consisting of demographic information and the second relating to the selection criteria of Islamic home financing.

The results indicate that the shariah principle, fast and efficient services, price, bank reputation, and terms and conditions of product flexibility are the five most important factors considered by customers in choosing Islamic mortgages.

The limitations relate to the sample area for the study, which is confined to Lahore, and due to the limited sample size, the findings cannot be generalized. Second, only four banks are considered.

This study is beneficial for practitioners in Pakistan by offering insight into choice criteria for Islamic home financing. The results should also be useful for Islamic bank managers who are also policy makers, as they can study and plan for attractive schemes and policies for customers through which they can fulfill their needs and expectations. For the researcher, this study will also add to the existing body of knowledge by providing novel evidence on the selection criteria used for Islamic home financing.

This topic has never been examined in the context of Pakistan, so this study initiates the choice criteria for Islamic home financing among Pakistani banks' customers. The paper provides potentially useful information for both customers (in selecting Islamic banks) and bank managers to identify the factors needed to attract customers.

This paper aims to examine the impact of general elections on the stock returns of the politically connected group affiliated firms of Pakistan.

This study uses the market model to assess the impact of political connections (PCs) on abnormal stock returns, before and after election events. We have used share price data of non-financial firms of Pakistan for the years 2008-2013.

It has been found that behavior of cumulative average abnormal returns (CAAR) is significantly different for standalone and politically connected group affiliated firms. The results reveal that CAARs of politically connected group affiliated firms have experienced less deviation as compared to stand alone firms. Therefore, it is argued that politically connected group firms may reduce the impact of political uncertainty on stock returns in comparison to stand alone firms.

This study is helpful for policy regulators of Pakistan to devise appropriate policies to maintain a level playing field for politically connected and standalone firms.

This study provides a new dimension to understand the role and association of PCs and general elections with stock markets returns.

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.