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For strategic and competitive insights, the purpose of this paper is to measure and benchmark the comparative operating efficiencies of Association of Southeast Asian Nations’ (ASEAN) major airlines and present a new interpretation along with managerial implications.

This research statistically tests returns to scale and the equality of mean efficiencies for 15 ASEAN airlines covering the period 2010-2014. The disaggregate input efficiency of ASEAN airlines is computed by comparing the target and actual inputs.

The disaggregate input efficiency of ASEAN airlines shows that aircraft efficiency is the lowest, operating cost efficiency is better, and available seat efficiency is the best.

This paper applies data envelopment analysis models, disaggregated input efficiency measures, and bootstrapping approaches to compute the operational efficiency of ASEAN airlines. Strategic suggestions are made to improve the operational efficiency of ASEAN airlines.

The Association of Southeast Asian Nations (ASEAN) members want to efficiently promote the flow of commodities and personnel within its service areas under given limited resources. Based on panel data from 2007 to 2014, this study applies the output-oriented data envelopment analysis method and focuses on the disaggregated output efficiencies of 42 ASEAN airports. Results show that the international airports of ASEAN members have significantly better output efficiency for passenger and movement output than regional airports. This work provides a relatively fair perspective in evaluating ASEAN’s airport operating efficiency. It helps policymakers measure the frontier forward or backward shift of an airport over the research period, in order to reveal the characteristics of airport efficiency and to present a new interpretation along with managerial implications.

In recent years, the airline industry has been growing and transforming rapidly in the Asia-Pacific area. This study analyzes and benchmarks the comparative operational efficiencies of the major Asian air carriers. Data envelopment analysis model and disaggregate output efficiency measures are used to evaluate the operational efficiencies of 31 Asian airlines from 2015 to 2019. The findings suggest that nonflag carriers, low-cost carriers, and high-income regions' carriers have significantly higher levels of efficiency than flag carriers, full-service carriers, and low-income regions' carriers in overall, revenue, and passenger traffic efficiencies. The efficiencies between alliance carriers and nonalliance carriers along with those of ASEAN and non-ASEAN carriers are not significantly different.

As state funding for public higher education has declined, there is a rising demand for accountability. Past studies have relied on indicator ratios to look at the relationship between funding and performance measures. This approach has some inherent problems that make it difficult to identify inefficiencies. This chapter will study efficiency in state systems of higher education by applying data envelopment analysis (DEA). DEA methodology converts multiple variables into a single comprehensive measure of performance efficiency and has the ability to perform benchmarking for the purpose of establishing performance goals. The advantages of DEA modeling will be shown by comparing results with those from a recent study of higher education finance based on publicly available data. DEA is shown to be feasible and implementable for studying state systems of higher education, and provides useful information in identifying “best practice” state systems and guidance for improvement. The value of DEA modeling to state policy makers and education researchers is discussed.

The purpose of this paper is to investigate the total factor productivity (TFP) change in the Greek cooperative banking industry over the period 2000‐2005.

The paper employs the Malmquist index and estimate two models, one based on the intermediation approach, and one based on the production approach. TFP change is disaggregated into technical efficiency change and technological change, whereas technical efficiency change is decomposed further into pure technical efficiency change and scale efficiency change.

The results are mixed. The first model indicates a small decrease (3 per cent) in TFP whereas the second model indicates an increase by 6.6 per cent. Comparing the results on the basis of banks' size finds that TFP growth is higher for smaller banks on average over the entire period of our analysis. However, this relationship between size and productivity is not robust across the years. Furthermore, the differences between the groups are not statistically significant.

The results can be of special interest to several stakeholders such as customers‐members, bank managers, local community, and of course bank regulators.

This paper is believed to be the first that examines the productivity growth of Greek cooperative banks.

The purpose of this paper is to provide a framework for evaluating the overall performance of bank branches in terms of profitability efficiency and effectiveness.

Applying a two‐stage DEA model to a sample of bank branches of a large commercial bank in Greece this study disaggregates overall performance into profitability efficiency and effectiveness.

The results indicate that superior insights can be obtained by employing the proposed two‐stage DEA model compared to the outcomes from the analysis based on selected key performance indicators (KPIs). Some relations between profitability efficiency and effectiveness are also investigated.

The study highlights the importance of encouraging increased profitability and efficiency throughout the branch network of the commercial bank under study.

The literature on financial statement analysis attempts to improve fundamental analysis and to identify market inefficiencies with respect to financial statement information.

In this paper, the author reviews the extant research on financial statement analysis.

The author then provides some preliminary evidence using Chinese data and offer suggestions for future research, with a focus on utilising unique features of the Chinese business environment as motivation.

The author notes that there has been no work that the author could locate specifically on Chinese FSA research. The unique business environment in China, relative to the US where the vast majority of this work has been conducted, should motivate any studies, especially given the author documents the robust finding in terms of the mean reversion in profitability.

The purpose of this paper is to examine the impact of agricultural cooperative membership on potato production and technical efficiency.

A combination of propensity score matching technique and sample selection stochastic frontier framework that addresses potential selection bias due to observable and unobservable attributes is used to estimate the effect of participation between cooperative members and non-members. Using a stochastic meta-frontier approach, the technical efficiency of farmers was estimated and compared.

The empirical results show that the effect of participation in agricultural cooperatives is associated with increased yield and technical efficiency. A comparison of group-specific frontiers indicates that cooperative members perform better than non-members. Cooperative membership decisions is significantly associated with household and farm characteristics (e.g. education, participation in off-farm work, total farmland, distance to market and geographic location).

The findings of this study demonstrate that cooperative organisations can be an important tool to enhance the productivity and efficiency of smallholder farmers. Successful cooperative models together with training programs designed to enlighten farmers on the importance and tangible benefits of collective action should be used to enlarge participation in cooperative organisations. In addition, governments and development agencies should implement targeted investment and capacity building programs related to irrigation management, gender-sensitive awareness and development of the internal institutional mechanisms in cooperatives for the transfer of knowledge and mutual learning so that all members benefit from cooperatives.

Despite the pervasive evidence of the impact of cooperatives on productivity and technical efficiency in the Asian region, this study is probably the first attempt in the crop sector in Mongolia. It provides a rigorous empirical analysis of the impact of agricultural cooperative membership on potato production and technical efficiency through a counterfactual design.

Data use cultures in schools determine data use practices. Such cultures can be muted by powerful macro accountability and organizational learning cultures. Further, strong equity-oriented data use cultures are challenging to establish. The purpose of this paper is to engage these cultural tensions.

The data discourse and decisions of four grade-level teams in two elementary schools in one district were studied through observation of 62 grade-level meetings over the course of a year. The observations focused on “data talk,” defined as the structure and content of team conversations about interim student performance data.

Distinct macro cultures of accountability and organizational learning existed in the two schools. The teams’ own data use cultures partly explained the absence of a focus on equity, and none of the teams used student performance data to make instructional decisions in support of the district’s equity aims. Leadership missed opportunities to cultivate an equity-focused data use culture.

School leaders who advocate that equity importantly guides data use routines, and can anticipate how cultures of accountability or organizational learning “show up” in data use conversations, will be better prepared to redirect teachers’ interpretations of data and clarify expectations of equity reform initiatives.

This study is novel in its concept of “data talk,” which provided a holistic but nuanced account of data use practices in grade-level meetings.

This paper aims to propose a new theoretical model based on the AAR framework (actor bonds, activity links and resource ties) to examine the effects of the identified buyer‐supplier relationship elements on four indicators of relative competitive advantage for the buyer firm.

The paper bases its findings on data gathered through a survey of 216 key informants within the Australian manufacturing sector. AMOS v. 18 is used to perform confirmatory factor analysis and to estimate a structural model of the proposed hypotheses.

The paper finds support for the notion that actor bonds between the firm and its largest supplier provide a source of competitive advantage that result in higher relative customer satisfaction, innovation, market efficiency and market effectiveness for the buyer firm. The paper also supports the notion that a positive relationship between information sharing and asset efficiency exists.

This paper demonstrates that the maintenance of positive relationships with the firm's largest supplier has implications for the firm in terms of its competitive outcomes. There is now more support for managers when building and maintaining relationships with important suppliers since there are potential implications for the firm's own competitive position.

The findings of this study extend previous research in the area of relationship marketing by providing a new link between relationship elements and direct competitive outcomes in a follow‐on market. It also shows that these elements have differential effects on these competitive outcomes.