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Liquidity is an important aspect of market efficiency. The purpose of this paper is threefold: first, this paper aims to discuss indicators that provide information about liquidity in agricultural land markets. Second, this paper aims to reflect on determinants of market liquidity and analyze the relationship with land prices. Third, this paper aims to conduct an empirical analysis for Germany that illustrates these concepts and allows hypothesis testing.

This study reviews liquidity dimensions and measurement in financial markets and derives indicators applicable to farmland markets. In an empirical analysis, this study exhibits the spatial and temporal variability of land market liquidity in Lower Saxony, a German federal state with the highest agricultural production value. This study uses a rich dataset that includes 72,547 sale transactions of arable land between 1990 and 2018. The research focuses on volume-based (number of transactions, volume and turnover) and time-based (trading frequency and durations) measures. A panel vector autoregression and Granger causality tests are applied to investigate the relation between land turnover and land prices.

The paper confirms the thinness of farmland markets but also reveals regional and temporal heterogeneity of land market liquidity. This study finds that the relation between market liquidity and prices is ambiguous. This study concludes that a high demand from expanding farms absorbs supply shocks regardless of the current price level in agricultural land markets.

Even though the relevance of agricultural land markets’ thinness is widely acknowledged in the literature, this paper is one of the first attempts to measure liquidity in agricultural land markets and to explain its relationship with land prices.

This paper aims to encourage the study of blockchain technology from an operations and supply chain management (OSCM) perspective, identifying potential areas of application, and to provide an agenda for future research.

An explanation and analysis of blockchain technology is provided to identify implications for the field of OSCM.

The hype around the opportunities that digital ledger technologies offer is high. For OSCM, a myriad of ways in which blockchain could transform practice are identified, including enhancing product safety and security; improving quality management; reducing illegal counterfeiting; improving sustainable supply chain management; advancing inventory management and replenishment; reducing the need for intermediaries; impacting new product design and development; and reducing the cost of supply chain transactions. The immature state of practice and research surrounding blockchain means there is an opportunity for OSCM researchers to study the technology in its early stages and shape its adoption.

The paper provides a platform for new research that addresses gaps in knowledge and advances the field of OSCM. A research agenda is developed around six key themes.

There are many opportunities for organisations to obtain an advantage by making use of blockchain technology ahead of the competition, enabling them to enhance their market position. But it is important that managers examine the characteristics of their products, services and supply chains to determine whether they need or would benefit sufficiently from the adoption of blockchain. Moreover, it is important that organisations build human capital expertise that allows them to develop, implement and exploit applications of this technology to maximum reward.

This is one of the first papers in a leading international OSCM journal to analyse blockchain technology, thereby complementing a recent article on digital supply chains that omitted blockchain.

This paper aims to identify the determinants of the adoption factors of Halal warehousing activities among Halal manufacturers in Malaysia. It is hoped that this work would contribute to the growth of research in the area of Halal adoption services.

The data for this quantitative study were gathered from 140 participants of the Malaysia International Halal Showcase 2013. Smart PLS version 2.0 was used to analyze the relationship of each construct using the structural equation modeling approach.

Awareness, complexity and top management support were found to be the determinant factors in the Halal warehousing services adoption among Malaysian Halal manufacturers. Supplier availability was found to have a negative relationship in the adoption of Halal warehousing services.

The findings of this study revealed some important implications and great values among researchers, Halal service providers and the government sector. It is also hoped that the findings of this study would give some insights into the adoption of Halal warehouse services. However, many other variables such as perceived benefits, consumer pressure and, also, industry pressure which may also contribute to a better understanding of Halal services should also be considered.

The Halal service providers should focus their offer of services not only to areas around Kuala Lumpur and Selangor but also to other areas in Malaysia. There is a great demand for their services throughout the whole nation, as the Halal manufacturers are scattered all over East and West Malaysia.

This study is an attempt to investigate and develop the Halal warehousing adoption model that was theoretically grounded in the technology, organization and environment (TOE) framework. This study found that the TOE framework could explain better each variable which has a relationship with the adoption of Halal warehousing activities.

The purpose of this paper is to examine the structural relationships among explorative learning strategy, improvisational creativity, compositional creativity, and innovation in information and communication technology small- and medium-sized enterprises (ICT-SMEs).

In total, 213 valid questionnaires from SMEs’ top management positions were evaluated to investigate the proposed model of the research empirically. As a methodological approach, partial least square (PLS) path modeling approach, a variance-based structural equation modeling was employed.

The statistical results imply that explorative learning has a positive impact on improvisational creativity and innovation while improvisational creativity has a positive influence on compositional creativity and innovation as well. Compositional creativity and innovation are also positively associated. Surprisingly, improvisational creativity mediates the relationship between explorative learning and innovation. Furthermore, PLS-multi group analysis reveals that heterogeneity exists in the collected data and number of employees is a moderating variable. The results of the research indicate that companies with number of employees between 51 and 100 are more creative and innovative in comparison with other groups. On the other hand, the positive relationship between explorative learning and compositional creativity was not supported in this research.

This study is one of the few research works in the realm of examining the structural relationship among explorative learning strategy, improvisational creativity, compositional creativity, and innovation in ICT-SMEs, regarding the number of employees as a moderating variable.

As a means of benchmarking their position and assisting with anticipating an uncertain future, the identification of critical information systems (IS) management issues frameworks is becoming an increasingly important research task for both academics and industrialists. This paper provides a description and summary of previous work on identifying IS issues frameworks by reviewing 20 research investigations in terms of what they studied and how they were conducted. It also suggests some possible directions and methodologies for future research. The summary and suggestions for further work are applicable for issues framework research in the IS management field as well as in other business and management areas.

Surface curvature is needed to analyze the range data of real objects and is widely applied in object recognition and segmentation, robotics, and computer vision. Therefore, it is not easy to estimate the curvature of the scanned data. In recent years, machine learning classification methods have gained importance in various fields such as finance, health, engineering, etc. The purpose of this study is to classify surface points based on principal curvatures to find the best method for determining surface point types.

A feature selection method is presented to find the best feature vector that achieves the highest accuracy. For this reason, ten different feature selections are used and six sample datasets of different sizes are classified using these feature vectors.

The author examined the surface examples based on the feature vector using the machine learning classification methods. Also, the author compared the results for each experiment.

To the best of the author's knowledge, this is the first study to examine surface points according to principal curvatures using machine learning classification methods.

Information technology plays a significant role in a global organization. Senior executives of these organizations need constant and timely access to global information for making decisions. This information originates in different places worldwide for a global organization and needs to be organized before it can be used for decision‐making. The organization and management of global corporate data presents unique challenges. This paper discusses the data organization and management related issues for developing a global executive information systems (EIS) for senior executives of global companies. The objective of a global EIS is to provide executives with a consistent, integrated and summarized view of operational data from subsidiaries worldwide. The global EIS also provides access to external data that is captured from different sources. The system facilitates integrating the internal and external data for effective decision‐making.

This paper aims to present a review of small and medium-sized enterprise (SME) literature on the adoption of technology for marketing with the objective the knowledge trajectory from SMEs to tourism SMEs (TSMEs) and presents a research agenda for the adoption of digital marketing among TSMEs.

The quantitative literature review method is adopted to analyze 50 articles published in high-ranking journals from 2011–2021. The selected papers were reviewed to quantitatively present the popular theoretical frameworks, constructs and research methods used for the adoption of digital marketing among SMEs and to present a future research agenda in the context of TSMEs.

The findings present a review of theoretical approaches, research design, methods, and models used by researchers, and identify new directions for future research in the context of the adoption of digital marketing among TSMEs. The paper presents a theoretical critique of the technology adoption theories and builds on diffusion of innovation theory, technology–organization–environment (TOE), and institutional theory to propose an expanded model to study digital marketing adoption among TSMEs.

The article presents a significant advancement in the theoretical understanding of the adoption of digital marketing by offering the application of the TOE framework with moderating role of mimetic and normative pressures. Thus, the study contributes to the scarce research on institutional theory in the context of services (tourism) and offers an alternative and holistic perception to study digital marketing. The research model serves as an organizing tool for future researchers and practitioners to probe and further augment knowledge development in tourism and TSMEs.

Negligible published work on TSMEs makes this study valuable and the proposed model gives strategic information in the given context.

The recruitment, development, and retention of top performing information technology (IT) professionals is a key concern within IT organizations today. It is therefore important for IT management to understand the characteristics and behaviors of high performing IT personnel in order to identify them and to create an environment conducive to their development and retention. However, the personality traits and behaviors of top‐performing developers have not received a lot of attention in the literature on IT personnel. Describes a research method for identifying and measuring the characteristics of exceptional software developers and presents the results of a pilot study using MBA students. The results of the pilot are intended to be used to refine the methodology and serve as input to future research involving IT managers. These results indicate that the research design holds the promise of providing a profile of top performing IT personnel.