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Container shipping is generally considered a global business. This truth may not hold from a single-company perspective. The companies’ physical operation networks show that container carriers operate differently and follow different paths in their internationalisation development. Additionally, the degree of internationalisation, measured on the basis of sea-oriented operations, differs from that measured according to land-oriented front-end marketing and sales activities. The purpose of this study is to further examine the internationalisation patterns of shipping lines.

An examination of the front-end activities and the structures of leading container-shipping companies is conducted. The sales office networks of the sector’s 20 largest companies worldwide (by twenty-foot equivalent unit capacity) are analysed as key indicators. The numbers of sales offices are measured by analysing the websites of the sample (20 companies), as well as annual reports and other publicly available data sources.

The findings show that not all shipping companies are international, by virtue of the industry. While it is difficult to observe differences in the overall patterns of the sales networks at a macro level, some companies differ in their activities. The data set also shows that market share and total capacity are not necessarily good indicators of a carrier’s worldwide presence.

This research is based on secondary data. Other important transactional and market-oriented considerations should be examined before drawing conclusions about the internationalisation of container-shipping companies and of the industry.

This paper contributes to the relevant existing research, particularly by adding its view on the demand-oriented criteria as suggested by Dunning and Lundan (2008).

This paper aims to replicate 148 anomalies and to examine whether the performance of the Korean market anomalies is statistically and economically significant. First, the authors observe that only 37.8% anomalies in the universe of the KOSPI and the KOSDAQ and value-weighted portfolios have t-statistics that exceed 1.96. When the authors impose a higher threshold (an absolute value of t-statistics of 2.78), only 27.7% of the 148 anomalies survive. Second, microcaps have large impacts. The results vary significantly depending on whether the sample included stocks in the KOSDAQ and whether value-weighted or equal-weighted portfolios are used. The results suggest that data mining explains large portion of abnormal returns. Any tactical asset allocation strategies based on market anomalies should be applied very cautiously.

This study aims to examine the formal and metric properties of Gil et al.’s (2000) scale of attitudes toward organic products, which is the most popular scale to measure these attitudes.

The sample consisted of 4,992 household shoppers living in Hong Kong, Germany, Norway, Spain and the UK. The questionnaire was distributed using a third-party consumer panel, and the fieldwork was conducted using computer-assisted Web interviewing. The approach was based on confirmatory factor analysis and measurement of invariance, as well as format analysis using a wording-syntactic and semantic descriptive method.

The scale reflects an attitude-toward-object model approach. Its use has been heavily varied (in terms of wording, item semantics and the attributes to be measured). A two-factor structure that meets the metric conditions (reliability and validity) is found. However, the analysis of invariance shows that the scale behaves differently in different countries.

This scale offers a good starting point for measuring attitudes toward organic products. However, it requires refinement to adapt to consumer evolution and improve its metric validity. Verification of its applicability in cross-national studies is recommended.

To the best of the authors’ knowledge, this is the first study that assesses the format and quantitative characteristics of this scale on a cross-national level. For scholars and companies with international interests, preventing the use of scales with poor properties at the transnational level can improve the design of future studies and save money through a more informed choice of attitudinal scale.

Este estudio examina las propiedades formales y métricas de la escala de actitudes hacia los productos orgánicos de Gil et al. (2000), que es la escala más popular para medir estas actitudes.

La muestra incluye 4.992 compradores principales en hogares de Hong Kong, Alemania, Noruega, España y el Reino Unido. El cuestionario se distribuyó utilizando un panel de consumidores, y el trabajo de campo se llevó a cabo mediante entrevistas online asistidas por ordenador. El enfoque se basó en un análisis factorial confirmatorio y en la invariancia de las medidas, así como en un análisis del formato utilizando un método descriptivo de redacción-sintáctico-semántico.

La escala refleja un enfoque de actitud basada en el objeto. Su uso ha sido muy variado (en redacción, semántica de sus redacciones y los atributos que mide). Se encuentra una estructura de dos factores que cumple con las condiciones métricas (fiabilidad y validez). Sin embargo, el análisis de invariancia muestra que la escala se comporta de manera diferente en distintos países.

Esta escala ofrece un buen punto de partida para medir las actitudes hacia los productos orgánicos, pero requiere un refinamiento para adaptarse a la evolución del consumidor y para mejorar su validez métrica. Se recomienda verificar su aplicabilidad en los estudios internacionales comparados.

Este es el primer estudio que evalúa el formato y las características cuantitativas de esta escala a nivel internacional. Para los académicos y las empresas con intereses internacionales, evitar el uso de escalas con propiedades deficientes a nivel transnacional puede mejorar el diseño de futuros estudios y ahorrar dinero a través de una elección más informada de la escala actitudinal.

Actitudes, Productos orgánicos, Estudio transnacional, Análisis factorial confirmatorio, Validación de la escala

Artículo de investigación.

The purpose of this study is to explore the changing buying behavior of young Bangladeshi consumers in this pandemic situation toward online orientation. The major determinants of the technology acceptance model (TAM) and consumer value theory are used to explore their impact on buying attitudes toward behavior.

In this study, a model has been conceptualized to examine the influence of hedonic and utilitarian motivational values along with perceived usefulness and perceived ease of use on actual buying behavior under pandemic conditions. A structured questionnaire has been prepared for an online survey, and data have been collected from 395 online shoppers. The structural equation modeling technique has been applied to analyze the data using SPSS and SmartPLS 3 software.

The results of this study support that perceived enjoyment and utilitarian attributes (price, convenience and health aspects) positively affect online buying attitudes along with perceived usefulness and perceived ease of use. Finally, online buying behavior is significantly influenced by the positive attitude of consumers.

The findings of this study may contribute to developing marketing strategies that may attract buyers toward a new business orientation with prosperous supreme features in the future. The emergence of the COVID-19 pandemic has changed the existing behavioral patterns of consumers and opened a new opportunity for marketers.

Young consumers are a larger section, and deep knowledge about youngsters may direct marketers toward appropriate use of marketing tools and strategies in the future.

This study integrated the TAM with hedonic and utilitarian motivational predictors to measure their impact on consumers' online buying behavior.

The purpose of this study is to introduce a matching function approach to analyze matching in financial reporting.

The matching function is first analyzed analytically. It is specified as a multiplicative Cobb-Douglas-type function of three categories of expenses (labor expense, material expense and depreciation). The specified matching function is solved by the generalized reduced gradient method (GRG) for 10-year time series from 8,226 Finnish firms. The coefficient of determination of the logarithmic model (CODL) is compared with the linear revenue-expense correlation coefficient (REC) that is generally used in previous studies.

Empirical evidence showed that REC is outperformed by CODL. CODL was found independent of or weakly negatively dependent on the matching elasticity of labor expense, positively dependent on the material expense elasticity and negatively dependent on depreciation elasticity. Therefore, the differences in matching accuracy between industries emphasizing different expense categories are significant.

The matching function is a general approach to assess the matching accuracy but it is in this study specified multiplicatively for three categories of expenses. Moreover, only one algorithm is tested in the empirical estimation of the function. The analysis is concentrated on ten-year time-series of a limited sample of Finnish firms.

The matching function approach provides a large set of important information for considering the matching process in practice. It can prove a useful method also to accounting standard-setters and other specialists such as managers, consultants and auditors.

This study is the first study to apply the new matching function approach.

The purpose of this paper is to examine the influence of entrepreneurial orientation on the network and exhibitor’s performance. The entrepreneurial orientation is seen as a highly competitive factor for the company, which can foster its trade fair business.

A survey-based quantitative approach was adopted, including a questionnaire (n = 362) applied to companies participating in trade fairs. To arrive at results, the study developed structural equations modeling techniques, using SPSS 24 and AMOS 20 software.

The study demonstrates positive impacts of entrepreneurial orientation on network capability and consequent exhibitor’s non-sales performance and exhibitor’s sales performance. A conceptual model is presented.

The study was carried out mainly on Portuguese companies, restricting its generalization. In addition, the exhibitor’s performance was measured based on the exhibitors’ level of satisfaction and not on real sales results.

The study offers a process which the results highlight such as innovativeness, proactivity, risk-taking, competitiveness and autonomy (dimensions of entrepreneurial orientation) as a mix of important ingredients for the exhibitor’s networking. The networking promotes intangible results (non-sales performance) that can generate sales (sales performance).

The study is the first research to apply entrepreneurial orientation in the trade fair context and it also presents a relationship between non-sales performance and sales performance.

The purpose of this paper is to achieve intelligent superstore site selection. Yonghui Superstores partnered with Cardinal Operations to incorporate a tremendous amount of site-related information (e.g. points of interest, population density and features, distribution of competitors, transportation, commercial ecosystem, existing own-store network) into its store site optimization.

This paper showcases the integration of regression, optimization and machine learning approaches in site selection, which has proven practical and effective.

The result was the development of the “Yonghui Intelligent Site Selection System” that includes three modules: business district scoring, intelligent site engine and precision sales forecasting. The application of this system helps to significantly reduce the labor force required to visit and investigate all potential sites, circumvent the pitfalls associated with possibly biased experience or intuition-based decision making and achieve the same population coverage as competitors while needing only half the number of stores as its competitors.

To our knowledge, this project is among the first to integrate regression, optimization and machine learning approaches in site selection. There is innovation in optimization techniques.

Studies about product customization decision are especially relevant for organizations that decide opening a subsidiary overseas. This scenario requires the company to decide which products should be customized and which products should be standardized when selling products in international markets. The main purpose of this paper is to identify which factors influence the decisions on the customization of industrial products and consumer products to a particular country in the marketing function of a global company.

To do so, a literature review was conducted addressing the following topics: internationalization, international marketing and product customization factors. With regard to methodological aspects, an initial qualitative phase was conducted with four exploratory case studies. In the quantitative phase, an online survey was developed, obtaining 123 records of an intentional non-probabilistic sample.

As a result, six factors were deemed essential to the product customization decision: customers’ characteristics, sustainable return on investment, sustainable profit, legal requirements, sales of other products in the portfolio and weather differences.

The authors expect that the results of this research contribute academically for the management knowledge about the meanings that product customization can assume in internationalized companies, and, additionally, in a business way, the authors expect that they help companies make strategic decisions on the appropriate measure to take regarding product customization in international markets, whether industrial products or consumer products. With these findings, the authors expect to make a valid contribution about product customization decision and suggesting future studies from other perspectives.

Correct registration for the value-added tax (VAT) is a key aspect of tax compliance; it is vital in ensuring adequate tax revenue collection in all countries but particularly in developing countries such as South Africa. Non-registration hinders sufficient tax revenue collection, stifles economic growth and causes unfair competition with formal businesses. The purpose of this study is to determine whether changes in the VAT rate affect the registration decisions of businesses, ultimately impacting upon tax compliance behaviour and tax revenue collection.

An online 2 × 2 between-subjects field experiment was conducted, as part of a broader study, to consider compliance with registration requirements by small business entities in South Africa, specifically when there are changes in the VAT rate.

Although the study establishes that changes in the VAT rate tend not to have a significant impact on the registration decisions of such taxpayers, it nonetheless indicates that the magnitude of the change in the VAT rate may be influential on registration decisions, whether relating to compulsory or voluntary registration. More particularly, the greater the magnitude of the VAT rate decrease (increase), the more likely it is that taxpayers will register (deregister) for VAT purposes, indicating that the magnitude of changes in the VAT rate do have an impact on VAT registration decisions and therefore on tax compliance more generally.

Not only does the study add to the limited knowledge available on registration decisions of small businesses, but also gives valuable guidance to policymakers in terms of determining the VAT rate for the country.

Not only does the study add to the limited knowledge available on registration decisions of small businesses, but it also gives valuable guidance to policymakers in terms of determining the VAT rate for the country.

In light of the recent dynamics, this paper aims to explore the last mile (LM) of e-commerce retailers. Two research questions are developed (1) What firm characteristics are critical in LM practices? and (2) How do LM practices differ based on the identified critical firm characteristics?

Data were collected via 10 interviews with e-commerce executives, as well as a survey on 200 e-commerce firms in different retail sectors in Sweden.

“Firm Size” and “Sales Channel-Mix” appear to be the top critical firm characteristics in LM practices. While last mile delivery (LMDe) was found to vary more based on sales channel mix than firm size, the opposite occurs for last mile back-end fulfilment (LMBF). Moreover, last mile consumer steering (LMCS) was found to vary only with sales channel-mix. Unexpectedly, primarily store-based retailers capitalize on their stores while offering competitive remote services; they hence compete indirectly with their existing store network.

While most prior work has focused on LMBF and LMDe for strategizing, the consumer-steering aspect seems to have been a missing link. This study develops an integrated framework for LM strategy planning, incorporating LMCS, LMBF and LMDe. New aspects such as the environment, specialization and inventory management are included. The findings provide insights for executives when strategizing, undertaking competition analysis and positioning the firm.