bluuebunny/crossref_metadata_2025_split huggingface dataset:
Job stress and organizational commitment in hospitals
Authors: Saadeh Inas Mohammed , Suifan Taghrid Saleh 
Published: September 2019

Purpose
This study aims to examine the effect of job stress on perceived organizational support (POS) and organizational commitment in hospitals in Amman, Jordan. It also investigated the mediating role of POS on the relationship between job stress and organizational commitment.

Design/methodology/approach
The study used a cross-sectional, quantitative survey design to collect data from 500 employees in six hospitals in Amman, Jordan. An Arabic version of a reliable and valid measurement instrument was used. A convenience sample was selected from employees in the targeted hospitals. Mediating effect was tested using the approach proposed by Baron and Kenny (1986). Validity and reliability tests were applied, and regression analyses were used to test the study hypotheses.

Findings
The results revealed a significant negative effect of job stress on POS and organizational commitment. The results also indicated full negative mediating effect of POS on the relationship between job stress and organizational commitment.

Practical implications
This research promotes hospitals to implement strategies that reduce employees’ job stress, increase levels of POS among employees working at hospitals, which, in turn, will enhance employees’ commitment to their hospitals.

Originality/value
This study is one of the first to investigate the proposed effects in Jordan in particular, and the Middle East in general. In addition, it contributes to the literature by examining the mediating effect of POS on the relationship between job stress and organizational commitment. Recommendations are provided to practitioners in hospitals based on the study results.
Industrial modernisation through institutional upheaval in a transition economy
Authors: Klarin Anton , Ray Pradeep Kanta 
Published: September 2019

PurposeThe purpose of this paper is to examine the effects of Russian institutional upheavals on industrial development.Design/methodology/approachThe paper uses a longitudinal case study analysis of three Russian pharmaceutical firms exploring the role of state support in developing a self-sustained competitive innovation-dependent industry.FindingsRussia’s shock therapy transition to a newly liberalised economy the 1990s without a supportive institutional framework led to severe setbacks in its modernisation process. A weak institutional context was not conducive to development of its fledgling organisations. In late 2000s, Russian Government initiated large-ranging institutional support in favour of strategic industries. This resulted in a shift from short-term profit-seeking arbitrage strategies to long-term investment strategies towards vertical integration, R&D and human resource development. Findings indicate countries that wish to forge competitive industries need to develop a strong supportive institutional mechanism that allows targeted industries to modernise and compete on a global scale. To ensure the effectiveness of execution of strategic policies, coherent communication channels and collaboration between the industry and the state is necessary.Originality/valueWhile research on large emerging economies, such as China and India, is extensive, research on Russia and surrounding states is sparse. Most of the research on Russia is based around large resource-sector organisations. This study is novel in its uncovering various phases of development of an innovation-dependent industry.
CRM performance and development of media entrepreneurship in digital, social media and mobile commerce
Authors: Ebrahimi Pejman , Ahmadi Mahsa , Gholampour Abbas , Alipour Hamidreza 
Published: September 2019

PurposeThe purpose of this paper is to evaluate the effect of CRM performance and technological innovation on performance of media entrepreneurs considering firm size.Design/methodology/approachThis is an analytical study used to empirically test the hypotheses proposed for SEM techniques using PLS and R packages. It used two steps in this way: the assessment of the outer model and the assessment of the inner model. Moreover, a bootstrapping method was employed to test indirect effects. Data were collected by distributing 127 questionnaires between the managers and deputies of active firms across Rasht, Iran.FindingsThe effect of CRM performance on SMEs performance development is partially mediated by media entrepreneurship. Moreover, the effect of technological innovation on SMEs performance development is mediated by media entrepreneurship. Furthermore, permutation test results indicated that there is no significant difference between small- and medium-sized firms.Research limitations/implicationsThis study used cross-sectional sampling method that can seriously limit result generalization. Therefore, conducting longitudinal studies is strongly recommended.Practical implicationsThe results of IPMA matrix indicated the serious importance of technological innovation, as a variable with the highest importance for SMEs performance development. Nevertheless, this variable has received the lowest importance in the studied population. Therefore, SMEs’ managers should pay sufficient attention to the concepts of “product innovations” and “process innovations.”Originality/valueThis study is of high importance in that it has adopted new and effective indices for statistical analysis. IPMA matrix, permutation test, CTA and FIMIX are examples. In addition, plspm and Matrixpls packages in R were used for the first time in this study.
The moderating role of 360-degree appraisal between engagement and innovative behaviors
Authors: Karkoulian Silva , Srour Jordan , Canaan Messarra Leila 
Published: September 2019

PurposeEngaged employees are a critical asset in any business. This is largely because engaged employees tend to proffer innovative solutions to complex problems in the workplace. The purpose of this paper is to examine the relationship between engagement and innovation as moderated by the use of 360-degree evaluation.Design/methodology/approachA survey targeting employees in Lebanon solicited their perceptions of 360-degree evaluation, engagement and innovative behaviors along with a statement as to whether their firm used 360-degree evaluations or not. Structural equation modeling (SEM) was used to test the moderating effect of 360-degree evaluations on the latent variables of engagement and three facets of innovation.FindingsSEM results show that 360-degree evaluations serve to enhance engaged employees’ innovative work behavior. However, ideation (creation and implementation) behaviors are more strongly influenced by the presence of 360-degree evaluation as compared to their “tangible” counterpart (technology and financial resource use).Research limitations/implicationsRespondents selected for this research were randomly sampled employees in Lebanon. A stronger study strategy would be to study paired departments within organizations – one implementing 360-degree evaluation and another not implementing it.Practical implicationsManagers, seeking to engender and strengthen innovative behaviors in engaged employees, should utilize 360-degree evaluation processes. Furthermore, the 360-degree evaluations should be designed to probe both tangible (technology and financial resource use) and intangible (idea generation and implementation) facets of innovation.Originality/valueThis study yields a deeper understanding of the relationship between engagement and innovative behaviors in the workplace along with managerial insights into the design and use of 360-degree evaluation.
E-fulfillment performance evaluation for an e-tailer: a DANP approach
Authors: Titiyal Rohit , Bhattacharya Sujoy , Thakkar Jitesh J. 
Published: September 2019

Purpose
E-fulfillment has a significant role to play within e-tailing, which provides products to a customer, comprising primarily of five components: website quality, customization strategy, distribution strategy, last mile delivery and return management. The purpose of this paper is to provide an e-fulfillment performance evaluation framework for an e-tailer, considering the different performance aspects of information systems (IS), marketing and operations for e-tailers.

Design/methodology/approach
Since quite a few performance aspects (i.e. IS, marketing system and operations) need to be factored in while evaluating the e-fulfillment performance, it may be considered as a complex multi-criteria decision-making problem. This study used decision-making trial and evaluation laboratory (DEMATEL) based analytic network process (DANP) to investigate the relationship between performance class and performance aspects, and calculated their weights. These designated weights of performance aspects help managers to find the important aspects needing improvement. The understanding of the interrelationship among the performance aspects enables managers to improve the efficiency of an e-tailing system.

Findings
This study provides the e-fulfillment performance evaluation framework to find the important aspects requiring improvement. The results of this study reveal that the important performance aspects of e-fulfillment performance are return policy, pickup method, innovativeness, assortment type, assortment width, trust (privacy and security) and promised delivery date.

Practical implications
This e-fulfillment performance evaluation could be used by an e-tailer to assess the e-fulfillment performance, and identify areas of improvement.

Originality/value
This study makes a contribution to the present body of knowledge by considering operations related performance aspects except the IS and marketing to evaluate the e-fulfillment performance.
Fatigue crack growth reliability analysis under random loading
Authors: Salari Mohammad 
Published: September 2019

Purpose
The purpose of this paper is to investigate the fatigue crack growth (FCG) under random loading using analytical methods.

Design/methodology/approach
For this purpose, two methods of cycle-by-cycle technique and central limit theorem (CLT) were used. The Walker equation was used to consider the stress ratio effect on the FCG rate. In order to validate the results in three random loading group with different loading levels and bandwidths, the results of the analysis, such as the mean lifetime of the specimen and the average crack length were compared with the test results in terms of the number of loading cycles.

Findings
The comparison indicated a good agreement between the results of the analysis and the test. Further, the diagrams of reliability and the probability of failure of the specimen were obtained for each loading group and were compared together.

Originality/value
Applying the cycle-by-cycle and CLT methods for the calculation of fatigue reliability of a CT specimen under random loading by the Walker equation and comparing their results with each other is not observed in other researches. Also in this study, the effect of the loading frequency bandwidth on lifetime was studied.
A model for the selection of transportation modes in the context of sustainable freight transportation
Authors: Fulzele Vijayta , Shankar Ravi , Choudhary Divya 
Published: September 2019

Purpose
A sustainable freight transportation system involves freight processes that are economically efficient, socially inclusive and environment friendly. For enhancing sustainability in the freight operations, mode selection is a crucial strategic decision. Therefore, the purpose of this paper is selecting the best mode, or a combination of modes based on various criteria to carry shipments from origin to destination.

Design/methodology/approach
This study has used an integrated grey relational analysis based intuitionistic fuzzy multi-criteria decision-making process (GRA–IFP) and fuzzy multi-objective linear programming model. Three scenarios have been developed for analyzing sensitivity of decision variables with the variations in parameters under relevant conditions. A real case of Indian third-party logistics service provider has been used to demonstrate the effectiveness of the model.

Findings
The most relevant criterion emerged out in this study for multi-mode selection problem is costs. It can be concluded from the study that multi-modal freight transportation has the potential to improve the sustainability of freight transportation by reducing the costs, damages, emissions, traffic congestion and by increasing the speed of delivering the shipment. The sensitivity analysis further shows that road is the economical mode, whereas sea and rail together are the greenest as well as socially responsible modes of transportation.

Originality/value
This study provides an integrated tool, which can be used by freight transporters to decide upon the sustainable modes of transportation for their various shipments.
Anxiety attachment and avoidance attachment: antecedents to self-gifting
Authors: Rippé Cindy B. , Smith Brent , Weisfeld-Spolter Suri 
Published: September 2019

Purpose
This paper aims to enhance current understanding of motivations for self-gifting by suggesting that an individual’s attachment state from childhood upbringing impacts self-gifting behavior.

Design/methodology/approach
A survey was administered to 301 consumers living in the USA. Results were analyzed using partial least squares structural equation modeling.

Findings
Findings reveal that insecure anxious and insecure avoidant individuals are inclined to self-gift for reward and as compensation for personal disappointment.

Practical implications
Retailers can leverage the results to customize promotional messages that reference self-gifting in relation to an individual’s attachment style. For example, messaging geared towards attachment avoidance might emphasize acceptance of one’s imperfect self and situation. Messaging with sensitivity to attachment anxiety might emphasize positive self-reflection and self-worth. Per the authors’ findings, a promotional message geared towards attachment style may better motivate self-gifting.

Originality/value
This research is the first known empirical research to specify a psychological antecedent of self-gifting behavior, which is an emerging area in the literature and retail environment. The findings explain nuances of self-gifting behavior by theoretically connecting insecure attachment style as a driver of self-gifting purchases for reward and personal disappointment.
Technological learning modelling towards sustainable energy planning
Authors: Neshat Najmeh , Hadian Hengameh , Rahimi Alangi Somayeh 
Published: September 2019

PurposeObviously, the development of a robust optimization framework is the main step in energy and climate policy. In other words, the challenge of energy policy assessment requires the application of approaches which recognize the complexity of energy systems in relation to technological, social, economic and environmental aspects. This paper aims to develop a two-sided multi-agent based modelling framework which endogenizes the technological learning mechanism to determine the optimal generation plan. In this framework, the supplier agents try to maximize their income while complying with operational, technical and market penetration rates constraints. A case study is used to illustrate the application of the proposed planning approach. The results showed that considering the endogenous technology cost reduction moves optimal investment timings to earlier planning years and influences the competitiveness of technologies. The proposed integrated approach provides not only an economical generation expansion plan but also a cleaner one compared to the traditional approach.Design/methodology/approachTo the best of the authors’ knowledge, so far there has not been any agent-based generation expansion planning (GEP) incorporating technology learning mechanism into the modelling framework. The main contribution of this paper is to introduce a multi-agent based modelling for long-term GEP and undertakes to show how incorporating technological learning issues in supply agents behaviour modelling influence on renewable technology share in the optimal mix of technologies. A case study of the electric power system of Iran is used to illustrate the usefulness of the proposed planning approach and also to demonstrate its efficiency.FindingsAs seen, the share of the renewable technology agents (geothermal, hydropower, wind, solar, biomass and photovoltaic) in expanding generation increases from 10.2% in the traditional model to 13.5% in the proposed model over the planning horizon. Also, to incorporate technological learning in the supply agent behaviour leads to earlier involving of renewable technologies in the optimal plan. This increased share of the renewable technology agents is reasonable due to their decreasing investment cost and capability of cooperation in network reserve supply which leads to a high utilization factor.Originality/valueTo the best of the authors’ knowledge, so far there hasn’t been any agent-based GEP paying attention to this integrated approach. The main contribution of this paper is to introduce a multi-agent based modelling for long-term GEP and undertakes to show how incorporating technological learning issues in supply agents behaviour modelling influence on renewable technology share in the optimal mix of technologies. A case study of the electric power system of Iran is used to illustrate the usefulness of the proposed planning approach and also to demonstrate its efficiency.
An integrated framework using VSM, AHP and TOPSIS for simplifying the sustainability improvement process in a complex manufacturing process
Authors: Soltani Mohyiddine , Aouag Hichem , Mouss Mohamed Djamel 
Published: September 2019

Purpose
The purpose of this paper is to propose an integrated approach for assessing the sustainability of production and simplifying the improvement tasks in complex manufacturing processes.

Design/methodology/approach
The proposed approach has been investigated the integration of value stream mapping (VSM), analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS). VSM is used as a basic structure for assessing and improving the sustainability of the manufacturing process. AHP is used for weighting the sustainability indicators and TOPSIS for prioritizing the operations of a manufacturing process regarding the improvement side.

Findings
The results carried out from this study help the managers’ staff in organizing the improvement phase in the complex manufacturing processes through computing the importance degree of each indicator and determining the most influential operations on the production.

Research limitations/implications
The major limitations of this paper are that one case study was considered. In addition, to an average set of sustainability indicators that have been treated.

Originality/value
The novelty of this research is expressed by the development of an extended VSM in complex manufacturing processes. In addition, the proposed approach contributes with a new improvement strategy through integrating the multi-criteria decision approaches with VSM method to solve the complexity of the improvement process from sustainability viewpoints.
Expanding university entrepreneurial ecosystems to under-represented communities
Authors: O’Brien Emma , M. Cooney Thomas , Blenker Per 
Published: September 2019

Purpose
Entrepreneurship education has moved from an elitist view focussing on a start-up and picking-the-winners philosophy towards a broader enterprising behaviour approach; recognising entrepreneurship as an activity of relevance for everybody. The purpose of this paper is to extend this development and identify how university entrepreneurial ecosystems can be expanded to support communities that are under-represented in entrepreneurship.

Design/methodology/approach
Based on an integrative literature review (Torraco, 2005), this paper draws together and synthesises literature from the field of entrepreneurship, higher education studies and under-represented communities in an integrated fashion, leading to the development of a new conceptual model.

Findings
This paper challenges the traditional role of universities in supporting entrepreneurship as focussing mainly on economic growth and new venture creation, and identifies how universities are also positioned to provide greater civic support to entrepreneurial learning amongst under-represented communities. Through a critical analysis of the literature, the conceptual model proposed identifies six key considerations in the expansion of university entrepreneurial ecosystems for under-represented communities.

Practical implications
There are currently 96.6m people at risk of poverty and social exclusion in the EU (OECD, 2017) and an estimated 43.1m Americans (US Census Bureau, 2017). This paper explores how university entrepreneurial ecosystems can be expanded to support minority and disadvantaged communities who are under-represented in terms of entrepreneurial activity.

Originality/value
Given that there is little research regarding how universities might activate inclusive entrepreneurship initiatives amongst under-represented communities, this paper expands existing knowledge as it identifies the key considerations encompassing university-led community collaborative enterprise support.
Segmentation of quantity surveying professional services for focus strategy and diversification
Authors: Adesi Michael , Owusu-Manu De-Graft , Boateng Frank 
Published: September 2019

Purpose
Notwithstanding that numerous studies have focused on strategy in quantity surveying (QS) professional service firms, there is a paucity of investigation on the segmentation of QS professional services. The purpose of this study is to investigate the segmentation of QS services for diversification and a focus strategy formation.

Design/methodology/approach
This study adopts the positivist stance and quantitative approach in which a simple random sampling technique was used to select participants. In total, 110 survey questionnaires were administered to registered professional QS, out of which 79 completed questionnaires were returned for analysis.

Findings
The paper identifies three main QS service segments characterised by low, moderate and high competition. In addition, this study found that the concentration of traditional QS services in the building construction sector is due to the unwillingness of QS professional service firms to diversify into the non-construction sectors such as oil and gas. The diversification of QS services in the low competitive segment requires the adoption of agile approaches.

Research limitations/implications
The study was limited to numeric analyses and so would be complemented by qualitative research in the future.

Practical implications
This paper is useful to QS professional service firms interested in diversifying their services into the non-construction sectors to enhance the pricing of their services.

Originality/value
Segmentation of QS services is fundamental to the formulation of focus strategy for non-construction sectors such as oil and gas and mining to enhance the pricing of QS professional services.