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1 – 10 of 56Saqib Shahzad, Shan Li and Adnan Sarwar
This study aims to investigate the effect of brand authenticity on consumer brand loyalty in the Pakistani frozen food industry sector in the light of the…
Abstract
Purpose
This study aims to investigate the effect of brand authenticity on consumer brand loyalty in the Pakistani frozen food industry sector in the light of the stimulus-organism-response (SOR) theory.
Design/methodology/approach
The quantitative approach utilized a survey questionnaire to acquire customers’ perceptions. A simple random technique was used to collect data. About 255 questionnaires were analysed, and the response rate was 72.86%. The measurement and structural model were constructed through Smart PLS-4 and fsQCA.
Findings
The findings indicated that brand authenticity positively affects brand loyalty in the Pakistani frozen food industry. Results further proved that brand involvement has a full mediation effect, fsQCA supports the same results, and customer satisfaction has a partial mediation effect. These findings offer valuable insights into the frozen food industry in Pakistan and other countries, allowing them to create successful tactics to engage customers and foster brand loyalty. The findings reveal the complexity and ever-changing nature of how consumers assess brand authenticity in the frozen food industry.
Practical implications
These findings also have implications for the frozen food business’s marketing and brand positioning strategies, particularly its utilization of brand authenticity to attract and retain consumers.
Originality/value
This is the first paper in the frozen food sector from the perspective of brand authenticity.
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Adnan Sarwar and Saqib Shahzad
This study aims to investigate the influence of green human resource management (GHRM) practices on healthcare organization sustainability performance in Pakistan. It explores how…
Abstract
Purpose
This study aims to investigate the influence of green human resource management (GHRM) practices on healthcare organization sustainability performance in Pakistan. It explores how perceived organizational support (POS) mediates the relationship between GHRM practices and healthcare organizational sustainability.
Design/methodology/approach
In the quantitative method, a questionnaire was used to acquire the perception of individuals via a simple random method. A total of 320 questionnaires were collected from the employees in the healthcare organizations of Pakistan, with a 47.70% response rate. Hypotheses were tested using SmartPLS (PLS-SEM).
Findings
The results reveal a positive relationship between GHRM practices and healthcare organization sustainability performance. POS partially mediated the relationship, strengthening the effectiveness of GHRM practices in boosting organizational sustainability.
Originality/value
The present study contributes to the understanding of GHRM practices in the healthcare industry, particularly in the context of emerging nations like Pakistan. It demonstrates a novel mediation role of POS to bolster the effectiveness of GHRM practices for gaining sustainability performance. The research proposes significant insight for both scholars and practitioners on how supportive corporate cultures affect the GHRM initiatives that foster economic, environmental and social sustainability.
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Basit Shahzad, Ikramullah Lali, M. Saqib Nawaz, Waqar Aslam, Raza Mustafa and Atif Mashkoor
Twitter users’ generated data, known as tweets, are now not only used for communication and opinion sharing, but they are considered an important source of trendsetting, future…
Abstract
Purpose
Twitter users’ generated data, known as tweets, are now not only used for communication and opinion sharing, but they are considered an important source of trendsetting, future prediction, recommendation systems and marketing. Using network features in tweet modeling and applying data mining and deep learning techniques on tweets is gaining more and more interest.
Design/methodology/approach
In this paper, user interests are discovered from Twitter Trends using a modeling approach that uses network-based text data (tweets). First, the popular trends are collected and stored in separate documents. These data are then pre-processed, followed by their labeling in respective categories. Data are then modeled and user interest for each Trending topic is calculated by considering positive tweets in that trend, average retweet and favorite count.
Findings
The proposed approach can be used to infer users’ topics of interest on Twitter and to categorize them. Support vector machine can be used for training and validation purposes. Positive tweets can be further analyzed to find user posting patterns. There is a positive correlation between tweets and Google data.
Practical implications
The results can be used in the development of information filtering and prediction systems, especially in personalized recommendation systems.
Social implications
Twitter microblogging platform offers content posting and sharing to billions of internet users worldwide. Therefore, this work has significant socioeconomic impacts.
Originality/value
This study guides on how Twitter network structure features can be exploited in discovering user interests using tweets. Further, positive correlation of Twitter Trends with Google Trends is reported, which validates the correctness of the authors’ approach.
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Khawaja Fawad Latif, Omar Afzal, Adeel Saqib, Umar Farooq Sahibzada and Waqar Alam
Drawing on the knowledge-based view, the study aims to investigate the impact of knowledge management enablers (entrepreneurial orientation and knowledge-oriented leadership) on…
Abstract
Purpose
Drawing on the knowledge-based view, the study aims to investigate the impact of knowledge management enablers (entrepreneurial orientation and knowledge-oriented leadership) on knowledge management processes and project success. The study further ascertains the specific combinations of knowledge management enablers and knowledge management processes that can lead to project success.
Design/methodology/approach
Survey data were collected from 222 project workers in information technology projects, and the proposed relationships were assessed through partial least squares structural equation modeling while configuration paths were assessed using fuzzy-set qualitative comparative analysis.
Findings
The study found a significant impact of entrepreneurial orientation and knowledge-oriented leadership on knowledge management processes and project success. The analysis also revealed that knowledge management processes did not significantly impact project success. Moreover, the insights from fuzzy-set qualitative comparative analysis show a clear pattern of equifinality, in that there are multiple combinations of knowledge management enablers and knowledge management processes that can lead to a successful project.
Originality/value
The current study is one of the earlier studies to provide insights to knowledge-based view by demonstrating the inter-relationship of entrepreneurial orientation and knowledge-oriented leadership with knowledge management processes and project success. To the best of authors' knowledge, this is the first study to assess the impact of knowledge-oriented leadership on project success. With limited studies on impact of entrepreneurial orientation and knowledge-oriented leadership on knowledge management processes, the study enriches the literature on linkage of entrepreneurial orientation and knowledge-oriented leadership with knowledge management processes. Methodological contributions include use of fuzzy-set qualitative comparative analysis to reveal multiple pathways to project success.
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Shabnam Khan, Saqib Rehman and Adeel Nasir
This study aims to explore the role of green motive (GM) and green dynamic capabilities (GDC) in green innovation (GI) through green value co-creation (GVC). Moreover, this study…
Abstract
Purpose
This study aims to explore the role of green motive (GM) and green dynamic capabilities (GDC) in green innovation (GI) through green value co-creation (GVC). Moreover, this study investigates the moderation of top management support (TMS) to strengthen the mediation of specific constructs; GM, GDC, green value co-creation (GVC) and green innovation (GI).
Design/methodology/approach
In total, 337 respondents (executive level/chief executive officer (CEO)) of service organizations were approached using a convenience sampling technique to collect the data through the survey method. Of these, 294 (87% response rate) duly filled responses were used in the final data analysis. In SPSS (Statistical Package for Social Sciences) v-23, the Process Macro-Hayes was used to evaluate the study's conceptual framework empirically.
Findings
The study revealed that TMS strengthened the mediation framework of GM, GDC, GVC and GI. Moreover, all hypotheses related to direct and indirect associations of specific constructs used in the theoretical framework were statistically significant and proved.
Originality/value
The comprehensive framework for GI of service organizations, primarily in the context of developing countries like Pakistan, is deficient in literature. This study helps service organizations by providing a comprehensive GI model to put a central focus on the transformation of management philosophy and working approach for achieving GI in the services structure.
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Collins Udanor and Chinatu C. Anyanwu
Hate speech in recent times has become a troubling development. It has different meanings to different people in different cultures. The anonymity and ubiquity of the social media…
Abstract
Purpose
Hate speech in recent times has become a troubling development. It has different meanings to different people in different cultures. The anonymity and ubiquity of the social media provides a breeding ground for hate speech and makes combating it seems like a lost battle. However, what may constitute a hate speech in a cultural or religious neutral society may not be perceived as such in a polarized multi-cultural and multi-religious society like Nigeria. Defining hate speech, therefore, may be contextual. Hate speech in Nigeria may be perceived along ethnic, religious and political boundaries. The purpose of this paper is to check for the presence of hate speech in social media platforms like Twitter, and to what degree is hate speech permissible, if available? It also intends to find out what monitoring mechanisms the social media platforms like Facebook and Twitter have put in place to combat hate speech. Lexalytics is a term coined by the authors from the words lexical analytics for the purpose of opinion mining unstructured texts like tweets.
Design/methodology/approach
This research developed a Python software called polarized opinions sentiment analyzer (POSA), adopting an ego social network analytics technique in which an individual’s behavior is mined and described. POSA uses a customized Python N-Gram dictionary of local context-based terms that may be considered as hate terms. It then applied the Twitter API to stream tweets from popular and trending Nigerian Twitter handles in politics, ethnicity, religion, social activism, racism, etc., and filtered the tweets against the custom dictionary using unsupervised classification of the texts as either positive or negative sentiments. The outcome is visualized using tables, pie charts and word clouds. A similar implementation was also carried out using R-Studio codes and both results are compared and a t-test was applied to determine if there was a significant difference in the results. The research methodology can be classified as both qualitative and quantitative. Qualitative in terms of data classification, and quantitative in terms of being able to identify the results as either negative or positive from the computation of text to vector.
Findings
The findings from two sets of experiments on POSA and R are as follows: in the first experiment, the POSA software found that the Twitter handles analyzed contained between 33 and 55 percent hate contents, while the R results show hate contents ranging from 38 to 62 percent. Performing a t-test on both positive and negative scores for both POSA and R-studio, results reveal p-values of 0.389 and 0.289, respectively, on an α value of 0.05, implying that there is no significant difference in the results from POSA and R. During the second experiment performed on 11 local handles with 1,207 tweets, the authors deduce as follows: that the percentage of hate contents classified by POSA is 40 percent, while the percentage of hate contents classified by R is 51 percent. That the accuracy of hate speech classification predicted by POSA is 87 percent, while free speech is 86 percent. And the accuracy of hate speech classification predicted by R is 65 percent, while free speech is 74 percent. This study reveals that neither Twitter nor Facebook has an automated monitoring system for hate speech, and no benchmark is set to decide the level of hate contents allowed in a text. The monitoring is rather done by humans whose assessment is usually subjective and sometimes inconsistent.
Research limitations/implications
This study establishes the fact that hate speech is on the increase on social media. It also shows that hate mongers can actually be pinned down, with the contents of their messages. The POSA system can be used as a plug-in by Twitter to detect and stop hate speech on its platform. The study was limited to public Twitter handles only. N-grams are effective features for word-sense disambiguation, but when using N-grams, the feature vector could take on enormous proportions and in turn increasing sparsity of the feature vectors.
Practical implications
The findings of this study show that if urgent measures are not taken to combat hate speech there could be dare consequences, especially in highly polarized societies that are always heated up along religious and ethnic sentiments. On daily basis tempers are flaring in the social media over comments made by participants. This study has also demonstrated that it is possible to implement a technology that can track and terminate hate speech in a micro-blog like Twitter. This can also be extended to other social media platforms.
Social implications
This study will help to promote a more positive society, ensuring the social media is positively utilized to the benefit of mankind.
Originality/value
The findings can be used by social media companies to monitor user behaviors, and pin hate crimes to specific persons. Governments and law enforcement bodies can also use the POSA application to track down hate peddlers.
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Winda Widyanty, Dian Primanita Oktasari, Sik Sumaedi and Sih Damayanti
This study aims to develop and test a conceptual model of business students' intention to establish a start-up business that involves attitude, perceived behavioral control (PBC)…
Abstract
Purpose
This study aims to develop and test a conceptual model of business students' intention to establish a start-up business that involves attitude, perceived behavioral control (PBC), entrepreneurial competence, financial access, lecture service quality, curriculum program, extracurricular activity and institutional support simultaneously.
Design/methodology/approach
An online survey was performed. The respondents were 196 business students in a private university in Indonesia. The data were analyzed using partial least square structural equation modeling (PLS-SEM).
Findings
Business students' intention to establish a start-up business was positively and significantly influenced by attitude and PBC. PBC was positively and significantly influenced by entrepreneurial competence and financial access. Attitude and entrepreneurial competence were positively and significantly influenced by curriculum program and extracurricular activity, but not influenced by lecture service quality and institutional support. Financial access was positively and significantly influenced by extracurricular activity and institutional support.
Research limitations/implications
This research was conducted in a private university in Indonesia. Therefore, to test the stability of the research findings and the proposed conceptual model, it is necessary to conduct research in different contexts.
Originality/value
Research on the intention to establish a start-up business that simultaneously considers attitude, PBC, entrepreneurial competence, financial access, lecture service quality, curriculum program, extracurricular activity and institutional support is still scarce in the literature. This study addressed the gap.
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Syed Tehseen Jawaid and Abdul Waheed
The purpose of the study is to develop a macroeconometric model for evaluation of trade policies and forecasting of trade performance of Pakistan with different regions or group…
Abstract
Purpose
The purpose of the study is to develop a macroeconometric model for evaluation of trade policies and forecasting of trade performance of Pakistan with different regions or group of countries.
Design/methodology/approach
These regions or group of countries are Organization of Islamic Cooperation, Organization of Economic Cooperation and Development, Association of Southeast Asian Nations, South Asian Association for Regional Cooperation and the rest of the world. A macroeconometric model containing 15 behavioral equations and eight identities.
Findings
Cointegration results suggest that there exist long-run relationships among variables of all behavioral equations. Additionally, results of different policy shocks based on unit value of export (export price), unit value of import (import price), exchange rate, foreign direct investment, interest rate and foreign exchange reserve suggest that the model is useful for economic planning to sustain growth performance of Pakistan.
Originality/value
In this study, the authors develop for the first time ever a macroeconometric model for the evaluation and forecasting of regional trade policy and performance for Pakistan.
Talat Islam, Saleha Sharif, Hafiz Fawad Ali and Saqib Jamil
Nurses' turnover intention has become a major issue in developing countries with high power distance cultures. Therefore, the authors attempt to investigate how turnover intention…
Abstract
Purpose
Nurses' turnover intention has become a major issue in developing countries with high power distance cultures. Therefore, the authors attempt to investigate how turnover intention among nurses' can be reduced through paternalistic leadership (PL). The authors further investigate the mediating role of job satisfaction between the associations of benevolent, moral and authoritarian dimensions of PL with turnover intention. Finally, the authors examined perceived organizational support (POS) as a conditional variable between job satisfaction and turnover intention.
Design/methodology/approach
The authors collected data from 374 nurses working in public and private hospitals of high power distance culture using a questionnaire-based survey on convenience basis.
Findings
Structural equation modeling confirms that benevolent and moral dimensions of PL positively affect nurses' job satisfaction which helps them reduce their turnover intention. While the authoritarian dimension of PL negatively affects job satisfaction to further enhance their turnover intention. In addition, the authors noted POS as a conditional variable to trigger the negative effect of job satisfaction on turnover intention.
Research limitations/implications
The authors used a cross-sectional design to collect responses and ensured the absence of common method variance through Harman's Single factor test.
Originality/value
This study identified the mechanism (job satisfaction and POS) through which benevolent, moral and authoritative dimensions of PL predict turnover intention among nurses working in high power distance culture.
研究目的
護士有離職意向,在擁有高權力距離文化的發展中國家,已成為一個重大的問題。因此,我們擬探討如何可以透過採用家長式領導、把護士離職的意欲減低,繼而研究工作滿足感,在離職意向與家長式領導中仁慈、道德和獨裁這三個層面的關係中所起的中介作用。最後,我們就組織支持感,作為是工作滿足感與離職意向之間的一個條件變數,進行了研究。
研究設計/方法/理念
本研究透過採用在便利的基礎上進行的問卷調查,從374名在高權力距離文化的公營和私營醫院內工作的護士取得數據,進行分析。
研究結果
結構方程模型證實了家長式領導中的仁慈和道德這兩個層面,會對可減低護士離職意欲的工作滿足感,產生積極的影響。家長式領導中的獨裁層面、則會對護士的工作滿足程度產生負面的影響,繼而增強其離職意欲。而且,我們確認了組織支持感是一個會增強工作滿足感與離職意向之間負相聯的條件變數。
研究的局限/啟示
我們以橫斷面的設計法來收集回應,並透過採用哈曼 (Harman) 的單因素檢定法,來確保共同方法變異不會存在。
研究的原創性/價值
本研究確定了一個 (工作滿足感與組織支持感) 機制,透過這機制,家長式領導中的仁慈、道德和獨裁這三個層面可預測於高權力距離文化工作的護士的離職意向。
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Eka Nurhalimatus Sifa and Sudarso Kaderi Wiryono
This study aims to simulate and compare the effect of two financing schemes, Salam and conventional financing, on farmers’ cash flows.
Abstract
Purpose
This study aims to simulate and compare the effect of two financing schemes, Salam and conventional financing, on farmers’ cash flows.
Design/methodology/approach
The system dynamics simulation is used to conduct a multiple scenario-driven analysis to understand the behavior and the dynamic patterns concerning relationships among the variables in the model that are chosen and parameterized using both qualitative and quantitative data collected from West Java, Indonesia.
Findings
The authors affirm that farmers cannot rely solely on paddy fields and should seek other livelihoods to support their daily needs. The main finding is that the Salam scheme provides a higher income that can contribute to improving farmer welfare. The Islamic scheme also requires less adjustment than the standard scheme to meet the farmers’ needs.
Research limitations/implications
The probable effect of implementing the Salam method is not considered from the point of view of the financiers, as the scope of the study is limited to farmers. Furthermore, the implications of this study and recommendations for future research are presented.
Originality/value
To the best of the authors’ knowledge, this study adds to the extensive literature on Salam financing by being among the first to provide a quantifiable evaluation of the Islamic method compared to its conventional counterpart.
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