18 research outputs found

    Relationship Between Psychological Capital and Counterproductive Work Behavior

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    Plethora of research studies and the acquisitioned knowledge of workplace experience signify the importance of behavioral positivity in the workplace environment. The research article empirically demonstrates the relationship between the psychological capital and counterproductive work place behavior and otherwise. This study includes sample of employees (N=235) of the faculty members of the universities of Khyber Pakhtunkhwa, Pakistan. Self-administered questionnaire was used to measure the construct and about 235 employees successfully responded in this research. The research finds that their state-like psychological capital has a significant influence on counter productive work Behaviour

    Intrusion Detection Framework for the Internet of Things Using a Dense Random Neural Network

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    The Internet of Things (IoT) devices, networks, and applications have become an integral part of modern societies. Despite their social, economic, and industrial benefits, these devices and networks are frequently targeted by cybercriminals. Hence, IoT applications and networks demand lightweight, fast, and flexible security solutions to overcome these challenges. In this regard, artificial-intelligence-based solutions with Big Data analytics can produce promising results in the field of cybersecurity. This article proposes a lightweight dense random neural network (DnRaNN) for intrusion detection in the IoT. The proposed scheme is well suited for implementation in resource-constrained IoT networks due to its inherent improved generalization capabilities and distributed nature. The suggested model was evaluated by conducting extensive experiments on a new generation IoT security dataset ToN_IoT. All the experiments were conducted under different hyperparameters and the efficiency of the proposed DnRaNN was evaluated through multiple performance metrics. The findings of the proposed study provide recommendations and insights in binary class and multiclass scenarios. The proposed DnRaNN model attained attack detection accuracy of 99.14% and 99.05% for binary class and multiclass classifications, respectively

    The impact of diabetes mellitus on the emergence of multi-drug resistant tuberculosis and treatment failure in TB-diabetes comorbid patients: a systematic review and meta-analysis

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    BackgroundThe existence of Type 2 Diabetes Mellitus (DM) in tuberculosis (TB) patients is very dangerous for the health of patients. One of the major concerns is the emergence of MDR-TB in such patients. It is suspected that the development of MDR-TB further worsens the treatment outcomes of TB such as treatment failure and thus, causes disease progression.AimTo investigate the impact of DM on the Emergence of MDR-TB and Treatment Failure in TB-DM comorbid patients.MethodologyThe PubMed database was systematically searched until April 03, 2022 (date last searched). Thirty studies met the inclusion criteria and were included in this study after a proper selection process.ResultsTuberculosis-Diabetes Mellitus patients were at higher risk to develop MDR-TB as compared to TB-non-DM patients (HR 0.81, 95% CI: 0.60–0.96, p < 0.001). Heterogeneity observed among included studies was moderate (I2 = 38%). No significant change was observed in the results after sub-group analysis by study design (HR 0.81, 95% CI: 0.61–0.96, p < 0.000). In the case of treatment failure, TB-DM patients were at higher risk to experience treatment failure rates as compared to TB-non-DM patients (HR 0.46, 95% CI: 0.27–0.67, p < 0.001).ConclusionThe results showed that DM had a significant impact on the emergence of MDR-TB in TB-diabetes comorbid patients as compared to TB-non-DM patients. DM enhanced the risk of TB treatment failure rates in TB-diabetes patients as compared to TB-non-DM patients. Our study highlights the need for earlier screening of MDR-TB, thorough MDR-TB monitoring, and designing proper and effective treatment strategies to prevent disease progression

    Achieving customer loyalty during post-pandemic: an asymmetric approach

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    Abstract The study aims to investigate causal recipes to improve restaurant customers’ loyalty (LOY) during COVID-19 post-pandemic. The study utilizes Fuzzy-set Qualitative Comparative Analysis (fsQCA) within the framework of complexity theory to examine the intricate relationship between antecedent conditions, including Socially Responsible COVID-19 practices (CSR), Service Quality (SR), Customer Experience (EXP), Customer Satisfaction (SAT), Trust (TR), and Customer Commitment (COMM). The study used a quantitative survey approach, using a Likert scale to achieve the study aim. The survey has been strategically developed to gather intricate replies, taking influence from well-established scales within the area. The research purposefully recruited customers from the restaurant industry in Pakistan. A total of 450 full and valid replies were obtained via the use of Google Forms and paper questionnaires. The fsQCA approach is used to examine the data and ascertain configurations or combinations of antecedent situations that contribute to enhanced levels of loyalty. The results indicate that LOY is a multifaceted phenomenon in the post-pandemic phase of COVID-19 and is not only influenced by individual antecedent situations. This study identifies many routes that lead to increased levels of loyalty, highlighting the need to adopt a comprehensive and integrated strategy. The research emphasizes the diverse impacts of important factors, including CSR, SR, EXP, SAT, TR, and COMM, on loyalty. The novelty of this study is in its utilization of fsQCA and complexity theory to investigate LOY inside the restaurant sector among the distinctive circumstances of the post-pandemic period of COVID-19. This paper presents a critique of conventional symmetrical methods and proposes a comprehensive viewpoint on LOY, highlighting the need for sophisticated and integrated theoretical frameworks. Through the exploration of several routes to increased levels of LOY and the identification of the intricate influences of numerous preceding factors, this study enhances both theoretical and practical comprehension. The study places significant importance on an innovative research methodology and its potential impact on restaurant management, making it a noteworthy contribution to the current body of literature

    [try to clean AAM] How can universities improve student loyalty? The roles of university social responsibility, service quality, and “customer” satisfaction and trust

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    Purpose – Student loyalty is important if universities are to stay in business by recruiting and retaining satisfied students who provide positive evaluations of their university to others. The current study employed a theoretical framework established by consumer researchers to test the hypothesis that university social responsibility (USR) would predict student loyalty, but that this relation would be mediated by perceived service quality, student satisfaction, and student trust in their university. Design/methodology/approach – Fee-paying university students in Pakistan (n 5 608) completed a questionnaire to assess their perception of USR and service quality, their satisfaction with and trust in their university, and loyalty toward their university. Findings – Structural equation modelling with partial least squares software supported the hypotheses that higher perceived USR would be related to higher student loyalty, and that this relation would be mediated by perceived service quality, student satisfaction, and student trust. Originality/value – This study provides a novel contribution to the limited literature on USR and its relations with student loyalty. Several models have previously examined the relation between corporate social responsibility and general consumer loyalty, but these have limited applicability to the education sector. The data in this study support a model showing that USR supports student loyalty through its positive impact on perceptions of service quality, student satisfaction, and student trust. The findings suggest that USR could be a marketing tool that supports student loyalty, as long as USR initiatives increase students’ perceptions of service quality, satisfaction and trust in their university

    Corporate social responsibility (CSR) and customer loyalty in the hotel industry: A cross-country study

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    The study examines the role of customer perceptions of CSR in improving customer loyalty by exploring its directand mediated effects through service quality, customer satisfaction, corporate image and corporate reputation ina cross-country setting. Data from Pakistan, China, and Italy was collected through surveys to explore customers'hotel experiences. The hypotheses were tested with SmartPLS-3. Findings for the overall sample revealed thatCSR affected customer loyalty positively and significantly. Nonetheless, this relationship was insignificant in thesamples from Pakistan and Italy, while it was found to be only partially significant in China. Thefindings alsorevealed a direct, positive and significant impact of CSR on service quality, customer satisfaction, corporateimage and corporate reputation. The direct relationships among all these variables were also significant acrosssamples. Customer satisfaction and corporate image were identified as significant mediators of the CSR-loyaltylink, but service quality and corporate reputation were found insignificant

    Development and validation of a multi-dimensional customer-based scale to measure perceptions of corporate social responsibility (CSR)

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    ABSTRACT: Purpose - Based on a review of previous literature that revealed a gap in the measurement of corporate social responsibility (CSR) from a customer perspective, in this paper the authors propose a multi-dimensional scale to measure customer perceptions of CSR. Design/methodology/approach - Using a systematic development process, the scale items were generated through the review of CSR literature and the opinion of academic experts. The scale was validated using data collected from 393 customers of the telecom industry. Data was initially subjected to exploratory factor analysis to identify the underlying scale dimensions. Confirmatory factor analysis was also conducted to validate the scale, testing for reliability, convergent and discriminant validity. Findings - The resulting scale is compounded of 30 items that load on 5 dimensions: developmental, ethical, relationship-building, responsiveness and information-sharing responsibilities. Practical implications - The proposal of reliable measurement tools for evaluating customer perceptions is especially relevant for companies because of their significant role in influencing the design and implementation of corporate actions. Along this line, the multi-dimensional scale developed in this study helps scholars and practitioners to better understand customer perceptions of the CSR actions that companies implement to improve these stakeholders' satisfaction. In doing so, the scale is especially useful for companies to measure how well they respond to customer needs in their daily routines. Originality/value - There is a significant lack of research into the development of reliable and valid tools to measure CSR from a customer perspective. The contribution of this study focuses on the identification of the 5 dimensions that determine CSR towards customers while it also provides a detailed scale to measure customer perceptions of these CSR dimensions

    Knowledge management towards sustainable competitive advantage in higher education: an analysis of productive and counterproductive behaviors

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    Purpose: Based on the knowledge-based view (KBV) and theory of planned behavior (TPB), the study aims to investigate the impact of sustainable leadership (SL) on knowledge management processes (KMPs) and the direct influence of KMPs on sustainable competitive advantage (SCA). Additionally, it aims to explore the mediating role of knowledge worker social responsibility (KWSR) in the relationship between KMPs and SCA. Furthermore, this study aims to evaluate the moderating effect of knowledge sabotage behavior (KSB) on the relationship between KMPs and KWSR. Design/Methodology: The sample frame consisted of 354 academic and administrative workers from Pakistan’s higher education institutions. The hypothesized relationships were tested using the PLS-SEM approach. Findings: The study found a significant positive effect of SL on KPMs as well as KMPs on SCA. Partial mediation of knowledge worker social responsibility between knowledge management processes and sustainable competitive advantage was confirmed. Furthermore, our findings indicate the negative moderating effect of knowledge sabotage behavior on the relationship between KMPs and KWSR. Originality/Value: The originality of the study lies in elucidating the direct relationship of SL & KMPs with the moderating role of KSB in the link between KMPs and KWSR and the mediating effect of KWSR on the relationship between KMPs and SCA in the setting of higher education institutions (HEIs) in Pakistan. Furthermore, this study provides in-depth insights into the existing body of knowledge on the KBV and TPB about SL, KMPs, and SCA
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