The metaefficiency of trade shows: a benchmarking analysis by sector

2018 ◽  
Vol 25 (8) ◽  
pp. 2875-2891 ◽  
Author(s):  
Pilar Alberca ◽  
Laura Parte ◽  
Ainhoa Rodríguez

Purpose The purpose of this paper is to analyze the efficiency of trade shows and provide insights for trade show exhibitors using data envelopment analysis (DEA). The paper also offers a benchmarking analysis of the business factors for the most efficient trade shows in each sector. Design/methodology/approach The paper uses the metafrontier DEA methodology and identifies several frontiers according to the sector in which the trade show operates since different sectors could not share homogeneous production technology for exhibitor firms. Findings The main findings reveal different profiles of individual sectors. The investment sector presents a more homogenous profile than either the consumer goods or the services sector. The consumer goods sector is more heterogeneous but it is also possible to find common characteristics for the most efficient trade shows. The service sector is characterized by a high variability and as such it is more difficult to identify benchmarking elements for the most efficient trade shows. Research limitations/implications The main limitation of the study is that the sample only includes audited trade shows. Future studies could extend the period under study in order to obtain a more complete picture on the evolution of trade show efficiency. Originality/value This paper extends the DEA results by profiling the most efficient trade shows in each sector so that this information can be used as a benchmarking tool to define exhibitors’ strategic decision making.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sunil P. Omanwar ◽  
Rakesh Kumar Agrawal

Purpose This paper aims to study the relationship between servant leadership (SL), employee turnover intention (TI) and organizational identification (OI) in hospitals. Design/methodology/approach The study uses a quantitative approach to investigate the relationships between SL, OI and TI, using data collected from a sample of 266 front-facing employees in a private Indian hospital setup. Structural equation modeling is used to analyze the data and test the hypotheses. Findings The findings reveal that servant leadership has a positive relationship with organizational identification and negatively impacts turnover intentions of the front-facing employee. Further, the study also reveals, contrary to expectations, organizational identification has no significant mediating effect between servant leadership and turnover intentions. Research limitations/implications This research is limited to front-facing employees in hospitals and the study may be extended to other industries in the service sector. Future studies may consider other mediating and moderating variables to fully understand the mechanism of impact of servant leadership on turnover intention. Multi-level studies can also be carried out. Practical implications With the ever-increasing expectations for better patient care, robust leadership models have required that address front-facing employee’s well-being, enabling their attention toward patients. This paper provides the impetus for the development and adoption of servant leadership specifically within hospitals and the service sector. Originality/value This study is one of the few studies that empirically examines servant leadership in the health-care domain. The study also contributes to the extant literature on servant leadership by empirically examining the mediation effect of organizational identification between SL and TI. To the authors’ best of knowledge, this study may be the first of its kind, providing evidence of servant leadership’s impact on turnover intention and organizational identification in hospitals using data from the Indian context.


2019 ◽  
Vol 27 (1) ◽  
pp. 137-165 ◽  
Author(s):  
Kwame Owusu Kwateng ◽  
Edna Edwina Osei-Wusu ◽  
Kofi Amanor

Purpose Increased competition in the banking sector coupled with long queues in the banking hall has necessitated the introduction of internet banking among banks in Ghana. As a result, internet banking has attracted a great deal of attention from both academicians and practitioners. The purpose of this paper is to examine the effect of internet banking on the performance of banking institutions in Ghana. Design/methodology/approach In total, 20 banks in Ghana were selected from the Bank of Ghana website for the study. The financial information about the banks’ operations was retrieved from the financial statements of the respective banks for the end of the year 2016. The data envelopment analysis-bootstrap approach with principal component analysis and cluster analysis was used to estimate 49 models. Findings The findings of the study indicated that the integration of internet banking into traditional banking methods has led to superior bank performance in Ghana. It was observed that while the independent application of internet banking as a strategy to raise performance was not yielding higher returns due to the low patronage of internet services among banking consumers, its integration with possible traditional methods is widely observed among the top performers in the banking industry. Practical implications Traditional banking methods, integrated banking service strategies and the internet banking service-oriented strategy emerged as the main banking strategies among the banks. Originality/value Extant literature is quite silent on the effect of internet banking on bank performance in Africa. However, this paper is among the first significant attempts to examine the effect of internet banking on bank performance.


2020 ◽  
Vol 13 (6) ◽  
pp. 1187-1217
Author(s):  
Negin Berjis ◽  
Hadi Shirouyehzad ◽  
Javid Jouzdani

PurposeThe main purpose of this paper is to propose a new approach to determine the project activities weight factors using data envelopment analysis. Afterward, the model is applied in Mobarkeh Steel Company as a case study. Accordingly, the project schedule and plans can be written on the basis of the gained weight factors.Design/methodology/approachThis study proposed an approach to determine the weights of activities using Data Envelopment Analysis. This approach consists of four phases. In the first phase, project activities are extracted based on the work breakdown structure. In the second phase, the parameters affecting the importance of activities are determined through a review of the related literature and based on the experts' opinions. In the third phase, the proper data envelopment analysis model is chosen and the inputs and outputs are signified. Then, the activities' weights are determined based on the efficiency numbers. Finally, the model is solved for the case of Isfahan Mobarakeh Steel Company.FindingsThe proposed method aimed to calculate the project activities weight factor. Thus, influential parameters on project activities importance include activity duration, activity cost, activity importance which includes successors and predecessors, activity difficulty which includes skill related (education and experience), safety, communication rate, intellectual effort, physical effort, unfavorable work conditions and work related hazards, have been recognized. Then, Projects' data were extracted from the organizational expert's opinions and recorded data in documents. Thereupon, applying DEA, the activities weight factor were calculated based on the efficiency numbers. The results show that the model is applicable and has promising benefits in real-world problems.Originality/valuePlanning is one the most fundamental steps of project management. The ever-growing business environment demands for more complex projects with larger number of activities wants more efficient project managers. Organizational resources are limited; therefore, activities planning is a critical from the perspectives of both managers and researchers. Knowing the importance of the activities can help to manage activities more efficient and to allocate time, budget, cost and other resources more accurate. Different elements such as cost, time, complexity, and difficulty can affect the activity weight factor. In this study, the proposed approach aims to determine the weights of activities using Data Envelopment Analysis.


2014 ◽  
Vol 9 (1) ◽  
pp. 58-77 ◽  
Author(s):  
Ioannis Tsolas

Purpose – This paper aims to assess two distinct aspects of performance in terms of technical (sales) efficiency and efficiency in market value generation of a sample of Greek metallurgical firms listed on the Athens Exchange by using data envelopment analysis (DEA). Design/methodology/approach – Both aspects of performance are measured by employing the DEA BCC model, combined with bootstrap and generalized proportional distance function (GPDF). Statistical analysis is performed to investigate whether there is a positive link between the two examined performance dimensions. Findings – Inefficiency is uncovered in both performance dimensions, but there is a lower level of performance in market value generation than in technical efficiency. Correlation analysis results do not point out positive links between performance measures for the sample firms. Research limitations/implications – The derived performance measures allow firm managers to set their own priorities and to seek out improvements along the two dimensions of performance; moreover, they may contribute to the reduction of information asymmetry among investors. Originality/value – This paper is one of a few that investigate the link between DEA-based sales performance and performance in market value generation. It contributes methodologically through the adoption of fundamental analysis principles in estimating efficiency in the two performance dimensions and the development of a DEA efficiency model in the presence of negative data.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Harriette Bettis-Outland ◽  
Roberto Mora Cortez ◽  
Wesley J. Johnston

Purpose This paper aims to evaluate the behavior of micro and macro business networks in a trade show context. The following questions are addressed: How do business networks impact organizational learning at trade shows? Can relational ties between networks influence organizational learning? Does trust play a role between different network types and organizational learning? Design/methodology/approach The theoretical framework for this research is based on the broad spectrum of social exchange theory (Cropanzano and Mitchell, 2005; Foa and Foa, 1974, 1980; Kelley and Thibault, 1978; Kelley, 1997). Social exchange theory has several different interpretations; one common view of this theory involves a series of interactions that result in obligations for the participating members (Emerson, 1976; Cropanzano and Mitchell, 2005). This model extends the Levin and Cross (2004) model presented in their article, “strength of weak ties you can trust: the mediating role of trust in effective knowledge transfer”. Findings This paper is a review and synthesis of trade show, trust, organizational learning and business network literature. This conceptual paper concludes with eight propositions, which delve into connections between micro and macro networks, strong and weak ties in these networks and the effect on organizational learning. Trust is the mediating variable between networks and organizational learning. High levels of trust could change the learning approach (adaptive, generative or transformative) of the different networks. Research limitations/implications The propositions integrate extant research on trade shows and will guide future research regarding the relationship between types of business networks, trust and organizational learning. Practical implications This conceptual paper looks at trade shows from a network perspective; specifically, how do trade show networks impact organizational learning. Trade show participation results in different approaches to organizational learning, which can be modified based on the level of trust that exists between network members. Trade show participation enables both adaptive and generative learning. However, atypical interactions between business networks occasionally produce transformative learning. Originality/value This conceptual paper offers an innovative approach to trade show research by analyzing the relationship between trade shows and organizational learning from a network perspective, using trust as the mediating variable.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahmoud Abdelrahman Kamel ◽  
Mohamed El-Sayed Mousa

PurposeThis study used Data Envelopment Analysis (DEA) to measure and evaluate the operational efficiency of 26 isolation hospitals in Egypt during the COVID-19 pandemic, as well as identifying the most important inputs affecting their efficiency.Design/methodology/approachTo measure the operational efficiency of isolation hospitals, this paper combined three interrelated methodologies including DEA, sensitivity analysis and Tobit regression, as well as three inputs (number of physicians, number of nurses and number of beds) and three outputs (number of infections, number of recoveries and number of deaths). Available data were analyzed through R v.4.0.1 software to achieve the study purpose.FindingsBased on DEA analysis, out of 26 isolation hospitals, only 4 were found efficient according to CCR model and 12 out of 26 hospitals achieved efficiency under the BCC model, Tobit regression results confirmed that the number of nurses and the number of beds are common factors impacted the operational efficiency of isolation hospitals, while the number of physicians had no significant effect on efficiency.Research limitations/implicationsThe limits of this study related to measuring the operational efficiency of isolation hospitals in Egypt considering the available data for the period from February to August 2020. DEA analysis can also be an important benchmarking tool for measuring the operational efficiency of isolation hospitals, for identifying their ability to utilize and allocate their resources in an optimal manner (Demand vs Capacity Dilemma), which in turn, encountering this pandemic and protect citizens' health.Originality/valueDespite the intensity of studies that dealt with measuring hospital efficiency, this study to the best of our knowledge is one of the first attempts to measure the efficiency of hospitals in Egypt in times of health' crisis, especially, during the COVID-19 pandemic, to identify the best allocation of resources to achieve the highest level of efficiency during this pandemic.


2015 ◽  
Vol 22 (6) ◽  
pp. 1115-1140 ◽  
Author(s):  
Fekri Ali Shawtari ◽  
Mohamed Ariff ◽  
Shaikh Hamzah Abdul Razak

Purpose – The purpose of this paper is to examine the banking industry’s efficiency using the case of Yemen. Design/methodology/approach – The paper utilises two-stage analysis to evaluate the efficiency adopting Data Envelopment Window Analysis (DEWA) in the first stage for the period 1996-2011. Furthermore, the paper addresses, in two-dimensional matrix, the stability and efficiency of the banking sector in order to assess their ability for survival. In the second stage, panel data analysis is applied to regress a set of bank-specific and macro-economic variables on the efficiency of the banking sector in Yemen in a comparative fashion between Islamic and conventional banks. Findings – The findings of the investigation indicate that the Yemeni banking industry in general was on a declining efficiency’s trend with increased instability during the later period of the investigation. In addition, the study shows that most conventional banks were relatively stable, though inefficient, while Islamic banks were more efficient over the time. The results of panel data regression further suggest that efficiency is related to a number of determinants. Loan/financing, and profitability are the common key determinants of efficiency for both Islamic and conventional banks. However, other determinants have impacted differently for Islamic and conventional banks, which could reflect the uniqueness of their operation and structure. Research limitations/implications – The present study provides a basis for the regulators and bankers to assess the viability of the banking sector and proposes policies to restructure the industry in order to enhance the performance of the whole industry. Originality/value – The paper presents new empirical findings on the efficiency of Islamic and conventional banks in Yemen.


2016 ◽  
Vol 28 (4) ◽  
pp. 386-400 ◽  
Author(s):  
Amir Moradi-Motlagh ◽  
Christine Jubb ◽  
Keith Houghton

Purpose Facing budgetary challenges, successive Australian Governments have chosen to proportionally reduce public expenditure on universities relative to levels of activity in both teaching and research. The question asked in this paper is whether Australia’s universities increased their efficiency in a manner consistent with the demands of government to provide productivity “dividends” or efficiencies? Design/methodology/approach Using archival data for 37 Australian universities from 2007 to 2013, this paper examines changes in productivity of university groups and individual institutions using the data envelopment analysis technique. Findings Results show a statistically significant system-wide (or technological) productivity improvement of 15.2 per cent from 2007 to 2013, but there was little average individual institutional change in efficiency. Productivity improvements were clearly observable for the Group of 8 institutions with an improvement of 25.1 per cent. Research limitations/implications Universities, like other public sector bodies, can both improve individually and as an overall system. The system has improved greatly in terms of productivity at higher levels than may be anticipated. Originality/value Using data contemporaneous with a period of great change in university funding and sector competition, this study reveals how some universities benefited, whereas others struggled to maintain their relative position.


2018 ◽  
Vol 60 (6) ◽  
pp. 1377-1392 ◽  
Author(s):  
Moinak Maiti

Purpose The purpose of this study is to detail about the India’s service sector with different aspects of services and the opportunities or challenges that lie within it. Design/methodology/approach Preliminary part of the study covers the following details of the India’s services sector: services gross domestic product (GDP), individual states/union territories’ services contributions, services foreign direct investment (FDI), services export, services employment, services inflation and overall service performance. Then the study compares India’s services sector performances with the top 15 services performance countries in the world in terms of GDP. Findings Study found R&D services, legal services, media and broadcasting services and “internal trade and repairs services” to be the potential services sub-sectors that will boost the services sector growth in future. Finally, the study concluded with the implication of the present study finding/results for the present Indian Government policies related to the services, trade, FDI for economic growth and employment. Practical implications The study has significant public policy content. The research focuses on the economic and commercial impact, mainly by practice. Originality/value The paper is original and brings out some valuable finding that will help the policymakers and economists to make policy decision regarding India’s services: sector, trade and employment. The study has found R&D services, legal services, media & broadcasting services and internal trade and repairs services as the potential services sub-sectors which are new and not addressed by any other studies.


2019 ◽  
Vol 15 (2) ◽  
pp. 245-261 ◽  
Author(s):  
Justin Paul ◽  
Pravin Jadhav

Purpose Foreign direct investment (FDI) is a strategic decision for achieving competitive advantage by multinational enterprises. The purpose of this paper is to explore the role of institutional determinants of FDI using data from 24 emerging markets including China, India, Indonesia, Turkey, Thailand, Malaysia and Pakistan. Design/methodology/approach In order to identify factors that attract FDI in emerging markets, this study has used data from sources such as the World Bank, Index of Economic Freedom and UNCTAD. Findings The findings of this research indicate that infrastructure quality, trade cost measured by tariff and non-tariff barriers, institutional quality measured by effective rule of law, political stability, regulatory quality and control on corruption are significant determinants of FDI in emerging markets. Originality/value This is the first study to analyze the sectoral institutional determinants of Inward FDI in the important emerging economies, to the best of authors’ knowledge.


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