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Building on the resource-based view theory, this paper aims to evaluate the role of innovation on competitiveness and competitive efficiency among Costa Rican small and medium-size enterprises (SMEs).

The study uses a sample of 231 Costa Rican small and medium-size firms for 2019. The authors compute a competitiveness index that includes four pillars: innovation, strategy, markets and human capital. To estimate competitive efficiency, the authors use a non-parametric model, namely, data envelopment analysis, with a single constant input.

The results confirm that competitive and efficient SMEs present a more homogenous distribution of resources and capabilities. The innovation pillar is positively correlated with competitive efficiency. A positive correlation exists between market experience (business age) and innovation and between innovation and business size in terms of the number of employees.

The study contributes to the understanding on how SME managers’ decision-making processes affect resource allocation within the business, and on how SMEs can introduce strategic actions based on improvements of those resources that will likely have a greater impact on competitive efficiency.

This study contributes to better grasping how the configuration of resources and capabilities, in which innovation plays a decisive role, and contributes to shape the competitive efficiency of small and medium-sized businesses in a developing economy.

Accurate evaluation of the consequences of new technologies in various industries is of great significance. So, it will be essential to examine the impact of this technology on the banking industry, representing how to create, deliver and gain value in this industry. This study aims to investigate whether blockchain can affect the business intelligence efficiency of banks. This study also aims to examine the impact of security, fraud reduction and privacy of blockchain, equal and anonymous access to the blockchain, decentralization and sustainability of blockchain, accountability and transparency of blockchain, quality, speed and efficiency of blockchain on business intelligence efficiency.

Technological changes are creating new challenges and opportunities for various industries. The inability of organizations to adapt to these changes may even lead to their deletion from the market. Blockchain is one of the most critical technologies in recent years. One of the sectors that will undergo significant changes in blockchain technology is the banking industry. According to the reviewed literature in this study, a comprehensive model has been proposed to examine the impact of security, fraud reduction and privacy of blockchain, equal and anonymous access to the blockchain, the decentralization and sustainability of blockchain, accountability and transparency of blockchain and quality, speed and efficiency of blockchain on business intelligence efficiency. A survey method was used to collect data from banks of the Nanjing city. The partial least square technique was used for data analysis.

The results showed that the fit of the proposed model was very good. Also, all assumptions except one were confirmed. It means that security, fraud reduction and privacy of blockchain factor have a remarkable and positive impact on all aspects of business intelligence efficiency, namely information technology, employees, competitors and customers. Also, equal and anonymous access to the blockchain factor has a positive and significant effect on all aspects of business intelligence efficiency. The decentralization and sustainability of blockchain factors have an impact on business intelligence efficiency. Also, blockchain's accountability and transparency as a fourth factor have a positive and significant impact on all aspects of business intelligence efficiency. Finally, the last factor (quality, speed and efficiency of blockchain) has a positive and significant effect on information technology, employees and customers' dimensions. But, it does not affect the competitors' dimension, and this hypothesis has not been confirmed.

This paper offers valuable insight for business intelligence practitioners into how blockchain technology has the potential to disrupt existing business intelligence provisions.

This paper is one of the first studies to examine the impact of blockchain on IT dimension, organizational employees' dimension, customer dimension and competitors' dimension. It lays a firm foundation for future research.

The paper aims to determine and assess the cost positions that mostly impact the company total cost efficiency in supply chain management under theoretical and empirical background.

In the paper, the systemic and logical analysis of e‐commerce expert research made over the past several years was used. For the empirical research, the data of a wholesale company cost structure and processes management was used.

Major findings allow stating that e‐commerce adoption in business has a positive impact on business efficiency in several areas. The quantitative and qualitative analysis of e‐commerce impact on business efficiency shows that the main cost positions, which directly depend on e‐commerce adoption and use, and experience quite big changes, are average cost of inventory management, the cost of materials ordering process, and the cost of labour.

The presented empirical research confirms the theoretical implications of e‐commerce impact on business efficiency. Using this information, the future research should be made on evaluation of indirect e‐commerce impact on business efficiency.

The empirical research of e‐commerce adoption in a wholesale company confirms that the main areas where e‐commerce has an important positive impact on business efficiency are the cost of inventory management, the cost of materials ordering process and the cost of labour.

The e‐commerce impact on business result analysis is improved by detailed costs, which depend on e‐commerce adoption, analysis and definition of e‐commerce impact on business results, by evaluating the business efficiency in quantitative and qualitative forms.

The aim of this paper is to investigate technical, scale, allocative and economic efficiencies by data envelopment analysis (DEA) and stochastic frontier methods to provide a decision‐making tool and managerial implications in the measurement of farm business performance and efficiency.

Technical, scale, allocative and economic efficiencies are analyzed with the Farm Accountancy Data Network (FADN) sample for 13 farm business branches in Slovenia in the period 1994‐2003. DEA models are used with an output‐orientation, three outputs and four inputs. The non‐parametric DEA estimations are compared with a parametric stochastic frontier approach. The cluster analysis is used to identify three different farm business groups according to their performance.

The average technical, scale, allocative and economic efficiencies for the whole FADN sample over the analyzed period are relatively high (around or over 0.90), suggesting that, although the FADN sample contains very different farms, the latter have similar management practices, and are similarly able to make the best use of the existing technology. Five farm branches (crop, dairy, livestock using own feed, fruit, and forestry) are fully efficient with respect to all four analyzed efficiency measures, suggesting that these specializations have the best chance to compete on the European and world markets.

Studies of technical, scale, allocative and economic efficiencies are rare for transitional farm businesses, especially in Slovenia. The research contributes to the crucial issue of whether small family farm businesses might be able to compete on international markets, as Slovenian agriculture is characterized by such structures.

Despite increased research attention to management innovation, the literature offers conflicting explanations of how it affects firm performance. The rational perspective emphasises the role of management innovation for organisational routine updating. The fashion perspective views management innovation as a symbolic activity to foster legitimacy. The purpose of this study is to integrate the two perspectives and explore both the mediating effects of organisational efficiency and business legitimacy and the moderating effect of CEO shareholding.

Based on empirical data from 238 Chinese firms, this study conducts stepwise regression to test the hypotheses.

This study finds that management innovation positively affects both organisational efficiency and business legitimacy and then firm performance. However, the promotion effect of organisational efficiency is stronger than that of business legitimacy on firm performance. The results further indicate that CEO shareholding strengthens the effect of management innovation on organisational efficiency but weakens it for business legitimacy.

This study presents a complete explanation of the effect of management innovation on firm performance by exploring the mediating effect of both organisational efficiency and business legitimacy. Further, it compares the effects of organisational efficiency and business legitimacy on firm performance. Finally, it resolves the conflict between the rational and fashion perspectives by involving the moderating effect of CEO shareholding.

This paper aims to understand the most efficient hotel system and why efficiency varies across years and between the two differing types of hotel businesses in Turkey.

A data envelopment analysis (DEA) analysis was used to characterise the efficiency of all-inclusive (AI) and bed and breakfast (B&B) hotel businesses with one output (total revenue) and three inputs (labour, food and capital costs). The Malmquist approach is then used to discern changes in total efficiency (TTE) and intertemporal shifts in the efficiency frontier (technological change (Tch)).

The results reveal that the AI hotel operates at 100% efficiency in the summer and year-round. The B&B hotel business operates at 89.6% with variable constant returns to scale during the summer and with 100% efficiency. The results of the Malmquist approach indicate that the total factor productivity grew in the years 2015, 2016, 2018 and 2019, while the other years were marked by inefficiency. Such increases were due to technical efficiency change (TEch) and Tch, which means that managerial and allocative efficiency (AE) were barely achieved. Slight differences were noted in the two time periods (all year and summer), suggesting that the scale of hotel businesses is prepared to operate all year round, and this calls for strategies to mitigate seasonality.

As to avenues for future research, the limitations of this study are threefold. First, the hotel businesses are not parallel in terms of the duration of their service offerings. Future research may consider including an AI hotel business that is in operation for the whole year. Second, businesses in Turkey are sceptical about sharing their data as it is considered confidential. However, to better generalise the results and encourage hoteliers to consider the positive outcomes of such analysis, the number of observations could be increased by considering more hotel businesses in both categories. Third, a mixture of data representing businesses operating in various countries may reflect if the efficiency scores vary internationally.

Overall, AI hotel businesses are more attractive but less efficient than B&B. Furthermore, the external crisis impacts the efficiency of hotel businesses meaning that hotel managers could keep on exploring AI, perhaps educating their hosts not to waste or not offer huge quantities. Hotel managers may also need to enlarge their seasonal activities to ensure more efficiency.

Despite the intentions of AI hotel businesses to increase their profitability with a lower level of service quality, this study shows that the AI hotel business is very attractive but not so efficient due to the higher propensity of guests to consume food and beverages in excess that compromises the definition of efficiency as zero waste. AI is very attractive for family groups or those seeking the pleasure of relaxation at seaside resorts and is also very popular in Turkey. On the other hand, the B&B hotel business is more efficient but less attractive.

The contributions of this paper are threefold. First, the authors analysed the efficiency and inefficiency of hotel businesses within nine years of operations. During this period, Turkey experienced first a tourism boom (2011–2014) followed by stagnation and subsequently a sharp decline due to political instability resulting in an (in)direct impact on tourism (2015–2019). Second, the authors compared the efficiency and inefficiency of AI and B&B hotel businesses. Third, the authors examined the effects of hotel management factors to ensure efficiency.

This study aims to evaluate how the configuration of competitive pillars impacts businesses' competitive efficiency by using a non-parametric model, namely, data envelopment analysis (DEA), with a single constant input.

The proposed DEA model evaluates technical inefficiency, which results from differences in the availability and allocation of resources, and configuration inefficiency, which we link to differences in the way businesses amalgamate their competitive pillars. The sample includes 115 Spanish businesses operating in manufacturing, construction, retail and knowledge-intensive business services (KIBS) sectors.

The results reveal that, on an average, firms can improve their overall competitive efficiency by 53.53%. The findings suggest that the configuration of competitive pillars has important implications for efficiency analyses: human capital and strategy are the most relevant aspects shaping competitive efficiency in manufacturing and construction firms; whereas innovation emerges as the most relevant competitive aspect driving competitive efficiency in KIBS firms.

The novelty of this study lies in the analysis of competitive efficiency in a model where efficiency can be explained by overall (industry-specific) competitive efficiency within the industry and by strategic choices on how resources and capabilities are combined within the business.

The purpose of this paper is to explore the sensitivity of economic efficiency rankings of water businesses to the choice of alternative physical and accounting capital input measures.

Data envelopment analysis (DEA) was used to compute efficiency rankings for government-owned water businesses from the state of Victoria, Australia, over the period 2005/2006 through 2012/2013. Differences between DEA models when capital inputs were measured using either: statutory accounting values (historic cost and fair value), physical measures, or regulatory accounting values, were scrutinised.

Depending on the choice of capital input, significant variation in efficiency scores and the ranking of the top (worst) performing firms was observed.

Future research may explore the generalisability of findings to a wider sample of water utilities globally. Future work can also consider the most reliable treatment of capital inputs in efficiency analysis.

Regulators should be cautious when using economic efficiency data in benchmarking exercises. A consistent approach to account for the capital stock is needed in the determination of price caps and designing incentives for poor performers.

DEA has been widely used to explore the role of ownership structure, firm size and regulation on water utility efficiency. This is the first study of its kind to explore the sensitivity of DEA to alternative physical and accounting capital input measures. This research also improves the conventional performance measurement in water utilities by using a bootstrap procedure to address the deterministic nature of the DEA approach.

The aim of this paper is to evaluate the intensity and success of the digitalization process, by measuring the efficiency of the use of information and communication technologies in business in the Republic of Serbia (RS) in the period from 2006 to 2019.

The data envelopment analysis method is applied and due to the sensitivity of the results to measurement errors, the robustness analysis of the obtained values of average efficiency is performed, using the bootstrapping method.

The results show an intensive, expansive and relatively efficient process of digital business transformation in the RS. The results indicate inefficient use of software packages, While the efficiency of e-commerce in companies in most years is over 80%.

The research is limited to the RS, so the conclusions cannot be generalized in a broader context.

The biggest problem in the implementation of digital business transformation in the RS is the understanding of management and employees in organizations that digital business transformation will take place only if software solutions are purchased and installed, with less attention paid to their proper application and low use of their maximum capabilities.

Digital transformation measurement is the subject of a very small number of studies. Through a review of the literature, the authors of this paper do not find the use of data envelopment analysis to measure the efficiency of digital business transformation in the way they present it in this paper.

The purpose of this paper is to evaluate and compare the efficiency of wine making in Germany and Ukraine in order to find the controllable factors of wine business performance using benchmarking tools.

The models of data envelopment analysis and other benchmarking tools are used to analyse the efficiency of wineries in two countries. Returns to scale, scale efficiency, super-efficiency and some other indicators are examined. The research is based on the sample of 36 German and Ukrainian wineries.

The hypothesis of higher wine making relative efficiency in Germany was compared with Ukrainian wine making, then analytically and statistically verified. A relatively high average scale efficiency score indicates good potential (above 30 per cent) for efficiency growth, due to the optimisation of a scale of production and sales. Generally, wine making in Germany and Ukraine has increasing returns to scale. The high-efficient wine business cannot bring great losses. It was found that the most efficient combinations of size and legal form of business organisation for wine business are presented in Germany.

The research is limited by a single industry of only the two countries.

This study provides useful information for researchers, investors and policy makers, enabling them to understand the current state, basic problems, controllable factors and efficiency levels of wine making in Germany and Ukraine. It may be useful to wine producers in these countries for improving their business performance.

This is the first paper that compares wine business performance and discloses its factors for Germany and Ukraine.