Search results

The current research prioritizes the dimensions of a higher-order customer engagement construct in the tourism destination context in order of their relative importance as perceived by tourists to provide meaningful insights to the tourism industry player.

Data was collected from 429 tourists' from selected tourist destinations. Exploratory factor analysis (EFA) was used for data analysis using SPSS. The scale items were prioritized through hybrid evidence-based modeling using the RIDIT-GRA (Relative to an Identified Distribution and Grey Relational Analysis, respectively) approach.

The prioritization of customer engagement scale items is done through RIDIT analysis and is verified through GRA. The rankings of two independent methodologies show a 93% correlation, thereby ensuring the ranking's robustness.

Prioritizing customer engagement scale items may assist destination managers in strategy formulation to ensure tourists' high-level loyalty transcending purchase. The findings help develop key response areas (KRA's) for effective destination brand management.

Such precedence analysis of customer engagement scale items has not been done in the tourism studies yet. Also, the present study verified the results by incorporating two independent methodologies, thus providing more valid results.

The main purpose of this paper is to create a suitable structure based on neutrosophic numbers to evaluate the safety performance in construction projects in such a way that the shortcomings can be highlighted with the reasoned measurement and possible strategies can be recommended.

Data envelopment analysis (DEA), which is a useful tool for performance appraisal, along with neutrosophic logic, which is one of the most complete tools for handling uncertainty phenomenon, has been used to evaluate the safety performance of construction projects. With this hybrid model, a new strategy is considered as an indicator for safety performance and comparisons are made between different units.

A total of 35 Chinese organizations with construction projects lasting between 1.5 and 2 years were selected for comparison. After processing the data into neutrosophic numbers and using the NN-DEA model, it can be found that projects that pay more attention to safety issues such as training and equipment are more efficient.

Since in the real world, there are uncertainties with different contradictions, and neutrosophical data can handle many of these challenges, using DEA model with neutrosophic numbers to evaluate the performance of construction projects from a safety perspective, can provide significantly better results. Therefore, considering that no study has been presented in this field so far, the authors will deal with this topic.

Construction workers’ health and safety (CWHS) research in India has not gained much attention among researchers. This study aims to review articles related to CWHS research in India using a science mapping approach.

A total number of 64 journal articles published between 2004 and 2019 were extracted from the Scopus database using keywords including “construction safety,” “occupational health,” “ergonomics in construction,” etc. VOSviewer software was used to examine the influential keywords, documents, sources and authors in the field of CWHS.

The study found that most of the current work focuses on safety management, safety climate, safety performance, musculoskeletal disorders and behavior-based safety. The result indicates no theoretical basis for the theories and learning methods for the existing studies.

The findings open up a research gap that researchers explore to enhance workers’ health and safety within the Indian construction environment.

The paper is the first article to provide a better understanding of current research in the field of CWHS in India by analyzing its growth through the science mapping approach.

The faculties are crucial to education. They should have enough training facilities and be encouraged to actively contribute to high-quality education and successful learning. Faculty engagement and development activities should be explored and included in learning organizations and employee engagement in India. This paper aims to describe higher education as a learning organization. The research will also assess how faculty development programs affect faculty engagement behaviors in these institutions and if professional development mediates this effect, which has not been previously examined.

This study was conducted with quantitative data collected from 267 faculties through reliable and validated adapted questionnaires. Semistructured interviews were conducted with heads and professor-level faculties to gain insights into faculty development and engagement. Partial least squares structural equation modeling technique (PLS-SEM 3.3.6 version) was used to test the conceptually drafted model.

Faculty professional development programs shown to improve higher education faculty engagement and professional progress. The studies also showed that higher education institutions must prioritize faculty development to become learning organizations. Professional development reduced the direct effects of faculty development program (FDP) on faculty engagement. This suggests that professional growth mediates the research.

This research emphasizes and professional development to boost teacher involvement in B-Schools. Management must design faculty development programs to construct professional development and learning organizations, according to the results. Developing and writing rules that encourage faculty engagement in such internal and external programs would also enhance their academic and administrative abilities and assist higher education institutions become learning organizations.

The study is one of the few to examine the impact of faculty development programs and professional development on faculty engagement in higher education institutions, particularly B-Schools, and its competitive mediating role.

The purpose of this paper is to analyze the influencing factors of patients’ financial burden through a case study of hospital on public‒private partnerships (PPP) model (Chaonan Minsheng Hospital of Guangdong Province) and provide some useful information to policymakers for better development of hospitals on PPP model.

There are total six indicators that are defined as patients’ financial burden, basing on the policy of “indicators of medical quality management and control on the third level large general hospital (2011 edition),” issued by Chinese Government. In total, 23 potentially influencing factors of patients’ financial burden for hospital on PPP model were chosen from the above policy. The five-year (2007‒2011) data for the above 29 indicators come from statistic department of hospital on PPP model. Grey relational analysis (GRA) was applied to analyze the influencing factors of patients’ financial burden for hospital on PPP model.

A clear rank of influencing factors of patients’ financial burden is obtained and suggestions are provided from results of GRA, which provide reference for policymakers of hospital on PPP model. The five main influencing factors of patients’ financial burden for hospital on PPP model, in sequence, are rescuing critical ill patients on emergency, rescuing critical ill inpatients, inpatient bed occupancy rate, working days per bed and medical building area.

The study on the influencing factors of patients’ financial burden for hospital on PPP model not only provides decision-making for policymaker of hospital and controlling of medical expenditure but also contributes to release patients’ financial burden for hospitals on PPP model.

Indian Railways being sole government organization for infrastructure, operations and regulatory functions entered for competition in the container segment in January 2006 through private-public participation for customer-centric competitiveness to break monopolistic control of Container Corporation of India (CONCOR) introducing limited licensing policy. The purpose of this research work is to carry out benchmarking the performance indicators in Indian Railway container business and select private players.

A case study has been conducted employing data envelopment analysis (DEA) methodology on secondary data of container terminals of CONCOR, Adani and Gateway logistics. Data from the year 1995-1996 till 2010-2011 have been used for performance evaluation within CONCOR itself and comparative analysis for all three organizations from 2005-2006 till 2010-2011.

The exercise identified efficiency trends fluctuating between 87.5 and 100 percent within CONCOR owing to haphazard infrastructure developed while comparison with private players showed 38.31-77.59 percent efficiency fluctuation concurrent to licensing policy norms.

The reliability of data provided by the selected operators for needful research is merely on the information and available sources.

The study enables the reader to gain some valuable insights from a managerial perspective by the use of DEA methodologies so as to formulate strategies to foster better performance.

The manufacturing sector has been observing various benefits by the implementation of lean manufacturing practices. However, the manufacturing sector has neglected the significance of health and safety management system implementation. The purpose of this research is to propose and validate an occupational health and safety management systems (OHSMS) framework based on critical success factors and their relationships in the lean manufacturing organizations.

A critical literature review was conducted to identify the success factors of OHSMS. Subsequently, a questionnaire survey and semi-structured interviews were conducted with experts from process industries to consolidate the critical success factors. After consolidating the critical success factors, relationships among critical success factors were established with the help of interpretive structural modelling using a team of 12 experts from industry and academia. These established relationships helped in proposing the hierarchical implementation framework. Finally, the validation of the proposed implementation framework was carried out using structural equation modelling (SEM).

This study has identified nine broader critical success factors for implementation of OHSMS in lean manufacturing organizations, especially the process industry. Subsequently, this study has proposed an OHSMS framework with nine broader critical success factors to implement in lean manufacturing organizations. Finally, the proposed framework has been validated using SEM with an appropriate sample size.

This study is helpful to the organizations to implement OHSMS without losing the essence of lean manufacturing strategy. This study has proposed a framework for implementation of OHSMS in the lean manufacturing organizations, especially process industry sector. This study also provided confidence to the organization through the validation of proposed framework in the process industry.

To the best of the authors’ knowledge, this study is first of its kind in this field of OHSMS in lean manufacturing organizations, especially the process industry. This study has involved both academicians and industry experts to bring more robust outcomes. This study proposed a unique framework to implement OHSMS in lean manufacturing organizations. This study has considered a comprehensive literature to develop a framework for OHSMS in lean manufacturing organizations. An implementation framework was proposed by considering both the academicians’ and industry professionals’ opinions. The proposed framework was statistically validated. This will be helpful in effective implementation of OHSMS strategy in lean manufacturing organizations, especially process industry sector.

The purpose of this study is to address three managerial issues in a retail network under a centralised regime, including resource allocation, expansion and downsizing. In particular, this study investigates how to optimise resource allocation across retailers and how to decide the optimal size of a retail network for an empirical case, where 27 retailers belong to an automobile parts supplier in Taiwan.

The centralised data envelopment analysis (DEA) approach is used to optimise resource allocation among retailers and to seek the possibility of either an expansion and/or downsizing for a retail network.

The case company knows the best way to (re)allocate its available resources and (re)arrange the outcome goals for its own retailers. The 27 retailers are assigned specific targets for input and output adjustments to become Pareto or technically efficient units. Besides, an experiment is designed to measure how changing the number of retailers affects the group efficiency of the retail network. To keep the current aggregated output level of the retail network, the centralised supplier needs at least 24 retailers. However, the retail network with 37 retailers can achieve maximal group efficiency.

Centralised resource allocation is an inherent feature of most supplier-retailer relationships, where the supplier is usually a central planner with the power to allocate available resources among its own retailers. To the best of our knowledge, this is the first study to assess retail performance under a centralised regime.

Although recent research acknowledges the importance of reducing the inefficient activities from road transportation, there is still a missing link in literature of how transportation extended wastes impact road haulers efficiency. The purpose of this paper is to investigate the relationship between waste reduction practices (WRP) and fleet operational efficiency (FOE) in road hauler firms.

A theoretical model was developed to assess this relationship. The authors test the model with a sample from logistics companies providing road haulage services in the Middle East, providing a contribution to extant literature from a different setting.

Results suggest that WRP have a positive and significant impact on FOE. A valuable scale for the measurement of operational efficiency was developed and validated, representing an index toward the most efficient organization.

The findings of this study serves as a tool for shippers to benchmark the efficiency levels of their motor carrier service providers against each other, considering that segmentation is a relevant issue to understand the choice in favor of a given provider to the detriment of another. Furthermore, road haulers can use the efficiency measurements as a basis for establishing future action plans to adopt waste reduction practices.

The research deals with a newly emerging stream of research on linking waste practices to road transport. The authors contribute to this developing body of research through filling a gap in the link between waste and road transport operational performance. The research is also different from recent literature in that the authors provide insights from a larger population, unlike other similar studies who used VSM and studied only a particular case. Thus, the work is important to generalize the findings, especially that the authors provide a perspective from a non-western perspective.

The purpose of this paper is to estimate retailing efficiency in a 26-store women clothing retail chain and to decompose it in several measures in order to contribute to the performance improvement of this retail service firm, as well as to compare the efficiency of the different decision making units.

This paper uses the following measures to estimate efficiency: sigma convergence analysis; efficiency analysis; technical efficiency (TE) analysis; pure technical efficiency (PTE) analysis and scale efficiency (SE) analysis for a set of 26 stores of a women retail service brand operating in Portugal. A cross-section input-oriented data envelopment analysis (DEA) is used to analyse quarterly data sets from 2010 to 2013.

The results show that costs with personnel are slightly increasing when analysed using the sigma convergence method, although there are some geographical differences. Moreover, it is possible to witness that the retail store chain’s TE diminishes as the operations outputs do not grow as fast as input savings. On the other hand, there are no SE problems as the levels of SE are larger than pure efficiency levels.

The main limitation of the study stems from the fact that the analysis is based on a simple retail chain, which makes it a single case study. Therefore, the generalisation of the conclusions for other firms or for other periods of analysis should be made cautiously.

It is shown that some stores have a good TE and other stores have some SE advantage. As such, it is possible to select some stores as benchmarks to deploy internal efficiency throughout the retail chain.

The contribution of this paper is based on the application of the sigma conversion and DEA techniques to evaluate efficiency in retail service store.