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This study aims to determine which factors underlie the store attributes that contribute to a particular food store image. Furthermore, heightened recent attention to private labels in the food retailing industry creates the need to assess whether the factors vary, depending on customers' brand proneness and their impact on key marketing performance variables (satisfaction, attitudinal loyalty, behavioural loyalty).

The proposed analysis features 211 questionnaires out of a sample of 391 consumers surveys gathered in four different store formats; 137 of which were completed by consumers who admitting being private label prone, and 74 pertaining to consumers who considered themselves national brand prone. The underlying food store factors were identified using factorial analysis of principal components, and their influence on consumers' satisfaction and loyalty was evaluated with linear parametric regression models.

Store attributes related to providing sufficiently convenient purchasing experiences and a special atmosphere are most important for private label brand-prone consumers and enhance their satisfaction, attitudinal loyalty and behavioural loyalty. For national brand-prone consumers, attributes related to quality are more important for enhancing marketing performance variables.

The results enable a clear identification of food store factors that vary with the consumer segment being considered (private label prone consumers vs. national brand prone), as well as their differential impacts on key marketing performance variables.

To appeal to private label-prone consumers, food retailers should put particular emphasis on the attributes of the store itself, especially those that enhance convenience and the pleasantness of the store atmosphere. To attract national brand-prone consumers, they primarily need to highlight aspects related to quality.

This research emphasises the importance of building competitive strategies in food retailing based on: an increased knowledge about the attributes and factors that food consumers value more highly; and brand type preferences.

The present study develops a multi-theoretic framework of the mechanisms of value creation in interorganizational relationships and of the key factors influencing those mechanisms. The integrative use of several theories in building the model is justified by numerous studies suggesting that a multi-theoretic approach is required to understand the complexity of interorganizational relationships (Gulati, 1998; Osborn & Hagedoorn, 1997; Park et al., 2002). We believe that the relationships between start-up companies and their corporate investors, with each party holding a diversity of strategic and financial objectives, are not less complex than other potential interorganizational relationships. They may therefore also require ideas from several theories to be properly understood. In this study, we build the models applying primarily the resource-based and the knowledge-based views, as well as social capital theory. Ideas from other theoretical approaches are used to complement these theories.

Recently, inland Chinese regions have become the major manufacturing base for most manufacturing firms. Accordingly, with this change, many shipping companies attempted to provide proper logistics service activities to maintain their business. Hence, this study aims to empirically examine the logistics service preference segments for Chinese landlocked regions from a manufacturer's perspective. By understanding these attributes, not only shipping companies but also logistics companies can provide proper service to their customers.

The preliminary logistics service attributes are determined using an interview and in-depth questionnaire with logistics experts from the local private and government sectors in southwest China and few international logistics coordinators. This study conducted importance-performance analysis (IPA) and used a customer dissatisfaction attitude index to evaluate the priorities for improving logistics service attributes. Cluster analysis is subsequently performed to group respondents on the basis of their factor scores.

Five crucial logistics service dimensions were identified by the factor analysis, namely, packing and storage, logistics supporting, logistics information, transportation planning and information inquiry. The results also revised the IPA model. The top five service attributes that needed to be improved were carrier selection, ship scheduling inquiry, route planning and inquiry, cargo receiving station and freight forwarding. By applying the factor analysis, this study reduced the 27 logistics attributes derived from the literature review to five underlying critical factors.

This study contributes to the inland logistics by investigating the preferences of manufacturers in Chinese landlocked regions. Moreover, in land logistics in China is lacking in the literature; hence, several important implications can be derived from this study's results.

The purpose of this paper is to examine the determinants of innovation in handicraft industry of Fiji and Tonga.

Data for this study was collected via face-to-face interviews with handicraft sellers in Fiji and Tonga. In total, 368 interviews were conducted in Fiji and Tonga out of which, 48 was from Tonga and 320 was from Fiji.

The results of this study show that eight factors; namely, value adding, design uniqueness, new product development, cultural uniqueness, advanced technology, experience of owner, ability of owner to adapt to trends in market and quality of raw materials have significant impact on level of innovation in handicraft industry of Fiji and Tonga.

To date, none of the existing studies have examined determinants of innovation in handicraft industry of the Pacific Island countries. This is a pioneering study that examines determinants of innovation in handicraft industry of Fiji and Tonga.

The aim of this article is to highlight some characteristics of balancing dimensions for an intelligent remuneration system in the knowledge economy; in other words, what to look for when remunerating sustainable growth of capabilities for future earnings potential (i.e. intellectual capital). The article also aims to present a supplement to the thinking regarding compensation systems.

The article is based on and refined from a MBA thesis by J. Camp and presents a perspective on intelligent remunerations based on intellectual capital, motivational psychology and knowledge management theory.

This paper presents some aspects of an intelligent remuneration system for growth of intellectual capital by unleashing a larger potential of the human capital dimensions. In order to enhance mind value‐added by talents, enterprises need to offer their people a more sustainable remuneration on their invested personal human capital, consisting of both tangible and intangible remunerations.

The value of this paper is the perspective of intelligent remunerations based on connected thinking around intellectual capital, psychology and knowledge management. It will add a broadening perspective to the current thinking regarding compensation models in knowledge‐intensive firms. An intelligent remuneration system is a system that nourishes collective organizational learning and continuous renewal.

The paper aims to explore the contributing factors impacting on shopping experiences of customers in Mauritius. It also seeks to investigate the relative significance of these factors in predicting the willingness of customers to visit shopping malls of Mauritius.

The paper applies the data reduction technique using exploratory factor analysis on a sample of 600 respondents drawn from 23 shopping malls and shopping centres across Mauritius and condenses a set of 33 mall attributes into a list of six comprehensible dimensions about shopping experience. The multiple regression analysis was also conducted to investigate the importance of the six shopping experience dimensions in influencing the behavioural intentions of customers to visit shopping malls of Mauritius in future.

The factor analysis identified that customers visualise shopping experience as a combination of six factors: “provision of childcare facilities”, “health and wellness events”, “entertaining events”, “sports and games facilities”, “value‐added restaurant facilities” and “shopping events”. The results of the regression analysis have also suggested that the willingness of customers to visit the shopping malls is primarily derived from one significant factor related to “entertainment facilities and events”.

Shopping mall managers should cater for more entertainment facilities and events. Mall developers should also focus on improving restaurant facilities by maximizing regular renovation of food courts, integrating international coffee shops and fast food outlets in various shopping malls of Mauritius.

The study is still a pioneer work on the factors impacting on shopping experiences in the context of Mauritius which is still a developing nation. Yet, it would serve as a roadmap for mall managers and designers to enhance shopping experience in similar contexts.

In the early 1990s, several new entrants extended “category‐killer, big‐box” retailing concepts to the marketing of used vehicles. Despite promise, each entrant has either exited the market or changed its business plan. Based on both primary and secondary data, the authors find that, although the superstore maintains some advantages over traditional used‐vehicle retailers, it has cost disadvantages over the traditional retailer. These findings on both the demand and the supply side of the business explain the observed market failures.

Climate change and its imminent threat to human survival adversely impact the agriculture sector. In an impoverished country like The Gambia, economic costs of climate change are colossal. This study aims to establish a computable general equilibrium (CGE) model for The Gambia’s agriculture sector to examine the effects of climate change on crops, livestock and sea-level rise.

This study used a CGE model with other climate change impact models to compute the impacts of climate change on The Gambia’s agriculture sector. The social accounting matrix calibrates the results from the various models, thereby generating the baseline results which exemplify a “steady-state” and policy shock results illustrating the medium- and long-term effects of climate change on the country’s agriculture sector.

The baseline results indicate the status quo showing the neglect of the agriculture sector due to limited investment in the sector. Hence, the sector is the “hardest hit” sector as a result of climate change. When the model factored in climate change in the medium term (2055) and long term (2085), the macroeconomic indicators of gross domestic product, national savings, wages, disposable income and consumer price index deteriorated, elucidating the vulnerability of the economy to climate change. The consumption of groundnuts, cattle and fish will decline by 5%, 5% and 4%, respectively, in the long term. However, the production of all agricultural commodities will decline by an average of 35% for the same period. The results for international trade show that exportation would decline while importation will increase over time. The general price level for agricultural commodities would increase by 3% in 2055 and 5% in 2085. Generally, the results manifest the severity of climate change in the agriculture sector which will have a multiplier effect on the economy. The impact of climate change would result in agriculture and economic decline causing hunger, poverty and human misery.

The caveat of this study revealed the nuances not captured by previous Gambian climate change studies, thus the novelty of the study.

This paper aims to analyze the superior economic sector by looking at its contribution to the gross regional domestic product (GRDP) of East Kalimantan Province, the economic base, the multiplier effect and the strength of inter-sectoral linkages.

This study was designed through two research approaches, namely, quantitative and qualitative method. This is intended to complement the results of the phenomenon under study and to strengthen the analysis. Secondary data were analyzed by the level of contribution of the economic sectors to the GRDP, and the base sector was determined through the location quotient approach. The two methods of calculation helped to reveal the dominant economic sectors in East Kalimantan Province. The Input Output (IO) Table in 2016 was made up dated from the 2009 IO Table to be used as a basis for building Social Accounting Matrix data or known as the East Kalimantan Regional Socio-Economic Balance System (SEBS) (a matrix of 49 × 49 sectors) in 2017 by using the RAS method. To be consistent, these SEBS data are then aggregated so all commodities are combined into economic sectors used to determine the leading sector on the East Kalimantan Province SEBS in 2016 (a matrix of 41 × 41 sectors).

Based on the assessment by scoring of the criteria for determining the leading economic sectors in East Kalimantan, i.e. the contribution of the economic sector to GRDP, the economic base, the multiplier effect (income, production factor, and output) and the linkages between sectors, both backward and forward linkage, shows the ten leading sectors as follows: the trade; paper and printed goods; financial institutions and other financial services; fertilizer; chemical and other rubber products; hotel and restaurant; general government; fisheries; excavation; and mining without oil and gas.

Similar research has never been done before in East Kalimantan; this is one of the originalities of this present study. No previous study has comprehensively studied the mediating effects of tourist value perception on the determination of economic sector, especially in Kalimantan, Indonesia.

The purpose of this paper is to propose the concept of higher education institutions (HEIs) offering educational services based on value for money. The value is determined based on customers’ (i.e. students) expectations of the service and the costs in comparison to the competitors. Understanding the value and creating customer value are a means to attain competitive advantage and constitute the basis of price setting. Drawing upon this belief, as an initial step towards value-based pricing method, the possible value factors are suggested for calculating educational programme prices across HEIs.

This is a conceptual paper introducing the value-based pricing approach in setting HEI tuition fees. Extending prior discussion on the demand for quality education and current financial challenges faced by HEIs, it introduces the concept pricing based upon customer perceived value (student/industry). Value-based pricing is deemed appropriate in view of the value of short tangible and intangible investment by both parties (students and HEIs) to differentiate in terms of setting the right price for the right university for the right student.

The primary aim is to suggest the applicability of value-based pricing for HEIs, which is likely to be both relevant and fruitful for the sustainability of the sector. It represents a personal point of view; building upon a review of the literature, the paper extends the established knowledge one step further in terms of setting the right price for the right university, which is deemed worthy of further study and development.

The paper will be of use to the management and policymakers in the education sector in searching for a contemporary pricing mechanism for higher education.