Abdul Hamid Abu Bakar, Ismail Lukman Hakim, Siong Choy Chong and Binshan Lin
The purpose of this paper is to investigate the efficiency levels of the decision‐making units within the public hospital laboratories in using their supply chain towards meeting…
Abstract
Purpose
The purpose of this paper is to investigate the efficiency levels of the decision‐making units within the public hospital laboratories in using their supply chain towards meeting the satisfaction of doctors.
Design/methodology/approach
Data were collected from two senior laboratory administrators and 30 doctors of two hospital laboratories in Malaysia using two sets of structured questionnaires, which comprised of two dimensions, i.e. doctor satisfaction dimension (DSD) and supply chain inputs (SCI). The dimensions of DSD and SCI were developed and that SCI has been relabeled as hospital laboratory inputs (HLI) to suit the nature of current study. The resulting data were positioned on an importance‐performance matrix. By using the data envelopment analysis software, the efficient frontier for both hospital laboratories was calculated under different scenarios.
Findings
Results reveal that one of the laboratories satisfies doctors efficiently using the present levels of HLI for each scenario while the other failed.
Research limitations/implications
The paper focuses only on two hospital laboratories.
Practical implications
The findings offer insights on the important dimensions of DSD and HLI that the hospital laboratories should concentrate on when measuring doctor satisfaction through the utilization of resources they possess. This will undoubtedly lead to better hospital‐doctor‐patient relationships.
Originality/value
Many prior supply chain studies have focused on patient satisfaction. This paper is probably one of the first attempts that comprehensively examines satisfaction from the perspective of doctors.
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Hakeem A. Owolabi, Azeez A. Oyedele, Lukumon Oyedele, Hafiz Alaka, Oladimeji Olawale, Oluseyi Aju, Lukman Akanbi and Sikiru Ganiyu
Despite an enormous body of literature on conflict management, intra-group conflicts vis-à-vis team performance, there is currently no study investigating the conflict prevention…
Abstract
Purpose
Despite an enormous body of literature on conflict management, intra-group conflicts vis-à-vis team performance, there is currently no study investigating the conflict prevention approach to handling innovation-induced conflicts that may hinder smooth implementation of big data technology in project teams.
Design/methodology/approach
This study uses constructs from conflict theory, and team power relations to develop an explanatory framework. The study proceeded to formulate theoretical hypotheses from task-conflict, process-conflict, relationship and team power conflict. The hypotheses were tested using Partial Least Square Structural Equation Model (PLS-SEM) to understand key preventive measures that can encourage conflict prevention in project teams when implementing big data technology.
Findings
Results from the structural model validated six out of seven theoretical hypotheses and identified Relationship Conflict Prevention as the most important factor for promoting smooth implementation of Big Data Analytics technology in project teams. This is followed by power-conflict prevention, prevention of task disputes and prevention of Process conflicts respectively. Results also show that relationship and power conflicts interact on the one hand, while task and relationship conflict prevention also interact on the other hand, thus, suggesting the prevention of one of the conflicts could minimise the outbreak of the other.
Research limitations/implications
The study has been conducted within the context of big data adoption in a project-based work environment and the need to prevent innovation-induced conflicts in teams. Similarly, the research participants examined are stakeholders within UK projected-based organisations.
Practical implications
The study urges organisations wishing to embrace big data innovation to evolve a multipronged approach for facilitating smooth implementation through prevention of conflicts among project frontlines. This study urges organisations to anticipate both subtle and overt frictions that can undermine relationships and team dynamics, effective task performance, derail processes and create unhealthy rivalry that undermines cooperation and collaboration in the team.
Social implications
The study also addresses the uncertainty and disruption that big data technology presents to employees in teams and explore conflict prevention measure which can be used to mitigate such in project teams.
Originality/value
The study proposes a Structural Model for establishing conflict prevention strategies in project teams through a multidimensional framework that combines constructs like team power conflict, process, relationship and task conflicts; to encourage Big Data implementation.
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Yenal Yagmur, Rüya Ehtiyar and Akin Aksu
The growing competition between the developing halal market and the countries in halal market has enhanced the interest of researchers in this field in recent years. In this…
Abstract
Purpose
The growing competition between the developing halal market and the countries in halal market has enhanced the interest of researchers in this field in recent years. In this context, this study aims to examine the studies published in the international literature on halal tourism between 1975 and 2019 in terms of bibliometric characteristics and to reveal tendencies and trends of these publications within the framework of certain parameters.
Design/methodology/approach
In accordance with this purpose, the topic of “halal tourism” was searched in the database of “Web of Science Core Collection,” and bibliometrics data in regard to the publications were reached. Publications on halal tourism were examined in the context of years, numbers, genres, research fields, fields of study, journals in which they are found, the number of authors and page number of publications, research approaches of publications, themes of publications, country where the research data was collected (examined), names of the authors in the publications and publication numbers of the authors, and the number of citations.
Findings
In this paper, it was determined that the studies in the field of halal tourism increased in recent years. It was concluded that these studies were mainly carried out after 2011 and showed a large increase in 2016, the majority of the publications were in the form of study-paper and the average number of citations in the field was 3.1, and h-index number was seven.
Research limitations/implications
This paper is based on bibliometric analysis. Bibliometric analyses were performed on the “Web of Science Core Collection.” Because of database searches were made only on “Web of Science Core Collection,” the publications that were not scanned here could not be analyzed.
Originality/value
This paper examined the studies on halal tourism between 1975 and 2019 with a bibliometric analysis technique. Thus, it is aimed to learn more about halal tourism and to provide the researchers who work in this field with information about the structure of this field.
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Wajiha Mohsin Shahzad, Siddenki Mahender Reddy, Ravindu Kahandawa and James Olabode Bamidele Rotimi
The ascendancy of modular offsite construction (MOSC) over traditional construction methods is well known. Despite the known potential of this construction approach, its adoption…
Abstract
Purpose
The ascendancy of modular offsite construction (MOSC) over traditional construction methods is well known. Despite the known potential of this construction approach, its adoption is minimal in New Zealand construction industry. This article investigates the potential benefits of using MOSC for delivery of high-rise buildings in New Zealand, underlying factors responsible for its low uptake and the measures that can facilitate its improved uptake.
Design/methodology/approach
This study utilised a mixed research approach. An empirical questionnaire survey was carried out with New Zealand construction industry professionals with expertise in MOSC. Factor analysis of survey data was carried out using SPSS software. Semi-structured interviews were carried out with subject matter experts to get further insights and expand the survey findings. Interview data were analysed using thematic analysis.
Findings
Study identified benefits of MOSC, thus establishing potential of its uptake for high-rise building construction. Constraining factors were investigated, most pronounced being low level of skills in construction industry to design, manufacture and integrate supply chain of MOSC, high initial investment, high cost of importing modules and negative perception about offsite manufactured buildings. This study also highlighted the enablers to improve uptake of MOSC. These enablers included; loan and mortgage policies to suit MOSC paradigm, building regulations to support OSC industry, increased support from the government and awareness and acceptance of standardised building designs among the clients.
Originality/value
Originality of this paper harps from little to no research carried out to investigate use of MOSC for high-rise buildings in New Zealand context.