Muhammad Ali, Talat Islam, Fouzia Hadi Ali, Basharat Raza and Golam Kabir
Workplace well-being has emerged as an important aspect in the field of health care. Therefore, this paper aims to investigate the role of managerial coaching on nurses’…
Abstract
Purpose
Workplace well-being has emerged as an important aspect in the field of health care. Therefore, this paper aims to investigate the role of managerial coaching on nurses’ well-being through psychological ownership and organizational identity.
Design/methodology/approach
The authors approached 284 nurses working in both public and private hospitals (between December 2019 and February 2020) on convenience basis, and data were collected through an online questionnaire-based survey.
Findings
The data were analyzed using AMOS version 24 and structural equation modeling confirmed psychological ownership and organizational identity as explanatory variables between managerial coaching and well-being.
Research limitations/implications
The study used self-reported data using convenience sampling which may raise a question on causality. The findings suggest the management to consider the importance of managerial coaching in shaping positive workplace behaviors of employees.
Originality/value
Drawings on social exchange theory, this study extends past studies to examine the mediating roles of psychological ownership and organizational identification between managerial coaching and workplace well-being among nurses. The study has theoretical and practical implications.
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Ishfaq Ahmed, Wasim-ul Rehman, Fouzia Ali, Ghulam Ali and Farooq Anwar
The purpose of this paper is to value the role of organizational virtuousness in predicting employee performance through mediation of affective well-being and work engagement.
Abstract
Purpose
The purpose of this paper is to value the role of organizational virtuousness in predicting employee performance through mediation of affective well-being and work engagement.
Design/methodology/approach
Data were collected through questionnaires from 487 banking employees from 60 branches of ten banks.
Findings
Analysis through structural equation modeling proves that virtuousness positively predicts employees’ well-being and engagement, which in turn influence their performance. Furthermore, both well-being and engagement proved to be partial mediation in the relation, where well-being had stronger explanatory role.
Originality/value
This study offers novel explanatory mechanism in the relationship of employee performance and organizational virtuousness, where in past studies such mediation mechanism has not received due attention.
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This study aims to examine the influence of regulatory framework (RF), market dynamism (MDY), competitive intensity (CIN) and environmental public concern (EPC) on responsible…
Abstract
Purpose
This study aims to examine the influence of regulatory framework (RF), market dynamism (MDY), competitive intensity (CIN) and environmental public concern (EPC) on responsible innovation (RI) in the manufacturing SMEs of a developing country. Furthermore, the study examines the influence of RI on sustainable competitive advantage (SCA). Moreover, big data adoption (BDA) is used as a moderator between RI and SCA.
Design/methodology/approach
The study’s hypotheses are evaluated using the structural equation modeling methodology. The study collected data from a sample of 487 owners/managers of manufacturing SMEs using simple random sampling technique.
Findings
The results explain that RF, MDY, CIN and EPC significantly determine RI. Moreover, RI significantly determines SCA. Besides, BDA significantly moderates between RI and SCA.
Research limitations/implications
For manufacturing SMEs to obtain SCA, RI is essential, and BDA is crucial to meet changing consumer demands for environmentally friendly products. With more environment-friendly initiatives, the natural environment will become more sustainable. Moreover, this research offers a comprehensive perspective to the public regarding the extent to which manufacturing enterprises are adopting RI and BDA.
Originality/value
The majority of earlier research on RI and BDA has been carried out in the context of large businesses. Institutional theory was used to look into the drivers of RI. Furthermore, BDA is used as moderating variable between RI and SCA.
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This study aims to examine the influence of organizational flexibility (OF) and shared vision (SV) on sustainable competitive advantage (SCA) with the mediation role of…
Abstract
Purpose
This study aims to examine the influence of organizational flexibility (OF) and shared vision (SV) on sustainable competitive advantage (SCA) with the mediation role of responsible innovation (RI) in the manufacturing industry of a developing country. Furthermore, big data analytics capability (BDAC) serves as a moderator between RI and SCA.
Design/methodology/approach
The study's hypotheses are investigated using the structural equation modeling (SEM) method. Through simple random sampling, information was gathered from 247 owners/managers of manufacturing SMEs.
Findings
The results elucidate that OF and SV significantly determine RI and SCA. Moreover, RI significantly mediates between SV, OF and SCA. Besides, RI significantly determines SCA. BDAC significantly leads to SCA. Finally, BDAC significantly moderates between RI and SCA.
Research limitations/implications
RI is crucial for manufacturing small and medium-sized enterprises (SMEs) to gain SCA and BDAC is important to address the changing demands of consumers for environment-friendly products. This study gives the public an overview of the different degrees to which SMEs are embracing RI and BDAC; with more environment-friendly initiatives, the natural environment will become more sustainable. Environmental sustainability will benefit each individual living in society.
Originality/value
This study adds value to the existing literature by focusing on predictors that affect SCA. Using dynamic capability theory, this initial study examines the influence of SV and OF on SCA and RI as mediators. Furthermore, BDAC is used as a moderating variable between RI and SCA. Managers, students and researchers can benefit from this study.
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Sayeda Zeenat Maryam, Fouzia Ali, Mehvish Rizvi and Sadia Farooq
This paper aims to demonstrate the turnover intentions (TIs) among the academic faculty of higher education institutions (HEIs) in Pakistan through their motivation and commitment…
Abstract
Purpose
This paper aims to demonstrate the turnover intentions (TIs) among the academic faculty of higher education institutions (HEIs) in Pakistan through their motivation and commitment toward the concerned institution. It inspects the relationship of dimensions of motivation including an absence of motivation (AM), extrinsic motivation (ExM) and intrinsic motivation (InM) with the dimensions of commitment including affective commitment (AC), continuous commitment (CC) and normative commitment (NC) and finally the academic's TIs.
Design/methodology/approach
The paper used the self-determination theory (SDT), the theory of organizational commitment (OC) and the theory of planned behavior (TPB) for its proposed model. A sample of 500 academics, working under higher education commission recognized public and private universities in Punjab Pakistan. A structural equation modeling (SEM) conducted for analysis using an algorithm, bootstrapping and blindfolding techniques.
Findings
The outcomes of the research are attention-grabbing, as no direct relationship has been observed between the dimensions of motivation and TIs except InM. The dimensions of commitments are mediating the relationship between motivation and TIs with high significance value. The results reveal a significant adverse effect on TIs through two dimensions of commitment.
Research limitations/implications
As it is the case of a developing country like Pakistan therefore the finding cannot generalize to developed countries.
Practical implications
The findings of this research may lead the policymakers and practitioners of HEIs and controlling body to retain their competent teachers.
Social implications
This research can help the private sector to develop strategies about the retention of their competent teachers within the institutions that not just value the institution but also will be much beneficial for the students and society.
Originality/value
This paper is identifying how motivation is related to TIs and the role of commitment in it at HEIs. Still, no research has been conducted considering this avenue of SDT, OC and TPB
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Adil Riaz, Fouzia Ali, Khurram Ashfaq, Anam Bhatti and Shafique Ur Rehman
This study aims to investigate the impact of green shared vision (GSV) and green knowledge sharing (GKS) on eco-innovation types and further investigates the impact of these types…
Abstract
Purpose
This study aims to investigate the impact of green shared vision (GSV) and green knowledge sharing (GKS) on eco-innovation types and further investigates the impact of these types on sustainable competitive advantage (SCA) and sustainable business performance (SBP) within the food manufacturing and food processing small- and medium-sized enterprises (SMEs) of a developing country.
Design/methodology/approach
Partial least square structural equation modeling technique was used to test the hypotheses. Simple random sampling was used, and data were collected from 312 owners/managers of food manufacturing and processing SMEs.
Findings
The results reveal a significant positive relationship between GSV, GKS and eco-innovation types. Furthermore, it was revealed that all three types of eco-innovation are significantly related to SCA and SBP.
Practical implications
The results of this research will assist food manufacturing and food processing SMEs in reducing their eco-footprint to gain SCA and SBP. Furthermore, policymakers and governing bodies may implement strong regulations to curtail eco-pollution.
Originality/value
To the best of the authors' knowledge, this is the first study that incorporates the concept of eco-innovation in food processing and food manufacturing SMEs of a developing country in the light of the natural resource orchestration theory.
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Shazia Nauman, Muhammad Zain Tahir, Fouzia Hadi Ali and Muhammad Saleem Ullah Khan Sumbal
This study examines how project leaders’ knowledge hiding influences project performance via project employee creativity, employing the conservation of resources theory. Further…
Abstract
Purpose
This study examines how project leaders’ knowledge hiding influences project performance via project employee creativity, employing the conservation of resources theory. Further, we investigate how mastery motivational climate (MMC) moderates the project employee creativity and project performance relationship.
Design/methodology/approach
Employing purposive sampling design, two-wave data (N = 245) was collected with a gap of three weeks from employees working in R&D departments in private software development project-based organizations located in Lahore, Pakistan.
Findings
Results suggest that leaders’ knowledge hiding does impede project employee creativity and negatively influence project performance. In addition, MMC was found to accentuate the relationship between project employee creativity and project performance.
Practical implications
This study offers notable insights into the knowledge hiding literature from a top-down perspective within the project management domain relating to IT projects. This study’s findings pose implications for practitioners and project-based organizations who are interested in counteracting the adverse effects of knowledge hiding on project performance.
Originality/value
This study proposes a novel approach to job design by considering resource scarcity caused by a leader’s knowledge hiding as a job demand, along with the achievement goal perspective driven by a mastery or goal orientation. To understand these two perspectives, we rely on the conservation of resources (COR) theory to describe how a leader’s knowledge hiding affects project performance through project employee creativity, moderated by mastery motivational climate.
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Kamal Hamaz and Fouzia Benchikha
With the development of systems and applications, the number of users interacting with databases has increased considerably. The relational database model is still considered as…
Abstract
Purpose
With the development of systems and applications, the number of users interacting with databases has increased considerably. The relational database model is still considered as the most used model for data storage and manipulation. However, it does not offer any semantic support for the stored data which can facilitate data access for the users. Indeed, a large number of users are intimidated when retrieving data because they are non-technical or have little technical knowledge. To overcome this problem, researchers are continuously developing new techniques for Natural Language Interfaces to Databases (NLIDB). Nowadays, the usage of existing NLIDBs is not widespread due to their deficiencies in understanding natural language (NL) queries. In this sense, the purpose of this paper is to propose a novel method for an intelligent understanding of NL queries using semantically enriched database sources.
Design/methodology/approach
First a reverse engineering process is applied to extract relational database hidden semantics. In the second step, the extracted semantics are enriched further using a domain ontology. After this, all semantics are stored in the same relational database. The phase of processing NL queries uses the stored semantics to generate a semantic tree.
Findings
The evaluation part of the work shows the advantages of using a semantically enriched database source to understand NL queries. Additionally, enriching a relational database has given more flexibility to understand contextual and synonymous words that may be used in a NL query.
Originality/value
Existing NLIDBs are not yet a standard option for interfacing a relational database due to their lack for understanding NL queries. Indeed, the techniques used in the literature have their limits. This paper handles those limits by identifying the NL elements by their semantic nature in order to generate a semantic tree. This last is a key solution towards an intelligent understanding of NL queries to relational databases.
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Fouzia Daoudim and Fatima Bakass
This paper aims to propose a dynamic multidimensional approach to identify the middle class and then to reliably study the structural changes that have marked it in terms of…
Abstract
Purpose
This paper aims to propose a dynamic multidimensional approach to identify the middle class and then to reliably study the structural changes that have marked it in terms of demographic and socioeconomic characteristics and aspirations.
Design/methodology/approach
This study uses Moroccan data from the 2007 and 2014 household expenditure surveys. The method consists in applying a factor analysis of mixed data on a set of variables inspired by Bourdieu’s concepts of social space and forms of capital, then performing a hierarchical ascending classification consolidated by the k-means clustering, along with adopting the same indicators and weighting for both years studied to ensure reliable comparison.
Findings
The classification results identified three social classes whose changing size reveals a decline of the lower class and an expansion of the upper and middle classes. Some characteristics of the middle class are becoming close to those of the upper class, like fertility behavior, while a significant gap remains between the two classes in other characteristics, like education. Moreover, middle-class perceptions reflect their downgrading, confirming that the so-called decline of the middle class is more related to feelings than to objective realities.
Originality/value
Middle class studies are generally based on a single criterion (income or consumption) with somewhat arbitrary boundaries that are often ill-suited to developing countries. This paper proposes a new dynamic multidimensional approach to overcome these problems while adopting a new technique for reliable intertemporal comparisons.