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This study examines the information transmission (return and volatility spillovers) among energy commodities (crude oil, natural gas, Brent oil, heating oil, gasoil, gasoline) and Asian stock markets which are net importers of energy (China, India, Indonesia, Malaysia, Korea, Pakistan, Philippines, Taiwan, Thailand).

The information transmission is investigated by employing the spillover index of Diebold and Yilmaz, using daily data for the period January 2000 to May 2021.

A Strong connectedness is documented between the two classes of asset, especially during crisis periods. Our findings reveal that most of the energy markets, except gasoil and natural gas, are net transmitters of information, whereas all the stock markets, excluding Indonesia and Korea, are net recipients.

The findings are helpful for portfolio managers and institutional investors allocating funds to various asset classes in times of crisis.

All data is original.

This study investigate the return and volatility spillover among agricultural commodities and emerging stock markets during various crises, including the COVID-19 pandemic and the Russian-Ukrainian war.

This return and volatility spillover is estimated using Diebold and Yilmaz (2012, 2014) approach.

The results reveal the weak connectedness between agricultural commodities and emerging stock markets. Corn and sugar are the highest and lowest transmitters, respectively, whereas soya bean and coffee are the largest and smallest recipients of spillover over time. Most equity indices are the net recipient except for India, China, Indonesia, Argentina and Mexico, during the entire sample period. Most commodities are net transmitters of volatility spillover except coffee and soya bean. At the same time, major equity indices are the net recipient of the volatility spillover except for India, Indonesia, China, Argentina, Malaysia and Korea. In addition, the return and volatility spillover increase during various crises like the COVID-19 pandemic and the Russian-Ukrainian war, but the major increase in spillovers occurs during the COVID-19 pandemic.

The empirical results show a weak relationship between agricultural commodities and emerging stock markets which is helpful for investors and portfolio managers in the construction and reallocation of their portfolios under different periods, most notably under COVID-19 and the Russian-Ukrainian war.

It is an original paper.

Enterprise architecture (EA) is a means of a high level of abstraction of a business’ levels which helps organise planning and taking better decisions. Evidence has shown that the scope of EA is not restricted to technology planning, but the lack of business strategy and processes is the most common problem of EA frameworks. Consequently, a challenge stems from the fact that the formulation of strategy should not be modelled separately but as a holistic approach. The purpose of this paper is to evaluate the contemporary problems in existing EA modelling frameworks concerning the optimisation of business strategy concepts and to identify areas for improvement.

Studies were spotted using a three phased literature review methodology which was suggested by Webster and Watson (2002).

Although, previous studies have attempted to use tools and models to visualise the technological business planning, limited previous study has focussed on modelling strategic planning. Due to issues concerning the lack of guidelines for modelling business strategy, a holistic approach is needed to be made.

The paper contributes to the existing literature by assessing the current EA modelling languages and their skilfulness to modelling strategy. Moreover, it contributes to the determination of difficulties in modelling, as well as to the examination of ease of use of language in the context of strategy. Second, this paper provides an overview to practitioners who would like to develop effective EA modelling projects, as well as to architects who try to solve the problems of business complexity.

In a short survey of children’s literature from the eighteenth century onwards, major themes and areas for research are identified. The nature of children’s literature between 1900 and 1920 and the 1920s to the 1950s is then discussed in greater detail with reference to the children’s books of many types published during the periods. Again, themes are identified and many avenues for research in different fields of study are indicated.

MID‐OCTOBER sees the activities of the library world in full swing. Meetings, committee discussions, schools at work, students busy with December and May examinations in view, and a host of occupations for the library worker. This year—for in a sense the library year begins in October—will be a busy one. For the Library Association Council there will be the onerous business of preparing a report on State Control; for libraries there will be the effort to retain readers in a land of increasing employment and reduced leisure; and for the students, as we have remarked in earlier issues, preparations for the new syllabus of examinations which becomes operative in 1938. It is a good month, too, to consider some phases of library work with children, “which,” to quote the L.A. Resolutions of 1917, “ought to be the basis of all other library work.”

This paper aims to create a conceptual model that connects learning organizations, service innovation and technology acceptance.

The importance of the interaction of variables benefiting both individuals and organizations has been comprehensively explained by combining two well-known theories – learning organizational theory and service innovation theory – with the technology acceptance model. In the first part of the study, conceptual model has been constructed and then applied to the hospitality industry of which results have been presented in the second part of this paper.

It is hypothesized that learning organization, service innovation and technology acceptance have significant relationships. It is also suggested that the learning organization plays an intermediary role in the relationship between technology acceptance and service innovation. Empirical results in this regard have been presented in the second part of the paper.

The relations have been established and tested in the hospitality industry in Antalya. However, the model can be applied and established relations tested in other industries.

This research contributes to our knowledge of the intricate linkages that exist between learning organizations, technology acceptance and service innovation. Originality of the paper is related to the novel multilayered model illustrating three-way interactions between the three dimensions of learning organization, technology acceptance and service innovation.

This paper aims to explore and model the factors of management quality dimension (FMQD) in evaluating banking performance.

The FMQD in evaluating banking performance are explored through the review of literature. The identified factors are modeled using integrated fuzzy cognitive map (FCM) and Matrices’ Impacts Croise’s Multiplication Appliquée a UN Classement (MICMAC) approach. Scenario analysis is carried out on the proposed model to study the behavior in a dynamic setting.

The main finding of this study is the prioritization of FMQD in evaluating banking performance. The cohesive model obtained by FCM-MICMAC integrated approach demonstrates that the interlinked factors can be grouped into independent, autonomous, dependent and relay clusters. The results suggest that internal control system is the most influential factor, whereas the business per employee is the most sensitive one in modeling management quality.

This study models the FMQD through expert opinions, and hence, individual bias may influence the results. This study can be further validated through statistical analysis.

The study suggests that practitioners may focus more on these select factors and their mutual interactions to enhance management quality for improving the performance of the banks. The study emphasizes that better clarity and efficient designing of internal processes are the key to management soundness.

This is the first study to explore and model FMQD in banking performance using FCM-MICMAC approach. Validation of the proposed model in a dynamic setting is also relatively new in the banking performance literature.