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There is extant literature on performance appraisal systems (PAS) in public sector globally; however, most of the literature focuses on PAS in public sector in large developed and large developing countries. To the best of the authors’ knowledge, there is scant literature on PAS in the public sector of small developing countries. Hence, the purpose of this paper is to fill the research gap and analyse employee perceptions of the annual performance appraisal (APA) system and its implications in the Fiji’s public sector. It examines the APA more specifically in the case study of Ministry of Health and Medical Services in Fiji.

A mixed methods approach was undertaken and information collected from each research method was triangulated to ensure the reliability and validity of the findings.

This study found that the APA system shows promise of delivering on the expected outcomes for PAS. Similarly, staff morale was found to increase while employee behaviour improved with employee involvement and simple key performance indicators. However, much work needs to be done at the macro, meso and micro level of policy planning and implementation in order to ensure the success of APA.

The limitations of this research are that it is based solely on Fiji’s experience and future research could expand this study to other developing country contexts, especially small island states.

After conducting a literature review on developed nations and research in a small developing country (Fiji), this paper produces two models: a PAS model in the developed country context and another in Fiji’s small developing country context. This paper contributes to the existing literature of PAS in the public sector and more specifically in the context of developing small island countries.

The purpose of this paper is to comparatively analyse the best human resource management (HRM) practices in the hotel sector of Samoa and Tonga.

This study examined best HRM practices used by the hotel sector of Samoa and Tonga by using self-administered questionnaires. Self-administered questionnaires were distributed to 73 hotels in Samoa and 66 hotels in Tonga. Out of the 73 self-administered questionnaires that were distributed in Samoa, 58 usable questionnaires were returned resulting in a response rate of 79 per cent. In the case of Tonga, out of the 66 self-administered questionnaires were distributed, 51 usable questionnaires were returned resulting in a response rate of 77 per cent.

The findings of this study show that there are 28 best HRM practices in Samoa and 15 best HRM practices in Tonga. This study also found that best HRM practices differ based on differences in internal and external environmental factors present in different geographical areas. The findings of this paper support the assumptions of the Contextual Paradigm of HRM and strategic human resource management.

This study is based on a single sector of Samoa and Tonga. A single sector study limits the generalisations that can be made across different sectors in Samoa and Tonga.

Human resource managers should incorporate cultural, political, legal, economic and social factors in HRM practices.

None of the existing studies have examined best HRM practices used by the hotel sector of Samoa and Tonga. This study is a pioneering study that comparatively analyses the best HRM practices used by the hotel sector of Samoa and Tonga.

The main aim of this paper is to empirically test a model that has central government health expenditure and advancement in medical technology as two separate determinants of economic growth rates in the Pacific island countries (PICs).

The data used in this research have been collected from WHO and ADB database for the periods between 2000 and 2012. The model used to test the main research question is based on the variant Cobb-Douglas production function with constant returns to scale.

This research found that health expenditure has a significant impact on the economic growth rate of the PICs. This study also found that the contemporary level of usage of advanced medical technology in the PICs is relatively low as compared to the total population of the country. If the PICs need to achieve high levels of economic growth rates, governments of the PICs need to improve its expenditure in the health sector. Good and qualified doctors need to be hired and the medical education has to be made more competitive. Improvement in the health services in the PICs will reduce mortality, improve per capita health and improve the national economic welfare of Oceania region.

Data availability was the major limitation in this research. Data were available for only seven PICs.

This research has implications for the academics, practitioners, and policy makers.

The research findings from this research have implications for the society as it shows that health expenditure is positively related to economic growth rates.

In the context of the PICs, no studies have been conducted that have analysed the relationship between health expenditure, medical technology advancement and the economic growth rate of the PICs. This research seeks to build and extend the existing state of research on augmented Cobb-Douglas production function and health economics in the PICs.

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.

Globally, there is an increased recognition of the important role played by micro, small and medium enterprises (MSMEs) in the economic development of a country. Similarly, in the South Pacific region, MSMEs is the main engine behind the economic growth. In particular, MSMEs is one of the biggest contributors to GDP, employment and plays a core role in the supply chain of large businesses. One of the major problems faced by MSMEs in South Pacific Island countries is a lack of finance to advance business growth. Against this backdrop, the purpose of this paper will be to examine the financial obstacles faced by MSMEs.

The main objective of this study is to explore the financial obstacles faced by MSMEs in the manufacturing sector of Fiji and Tonga. In particular, this research tries to evaluate the severity of the impact of each of the financial obstacles on the growth and survival of MSMEs in Fiji and Tonga.

The research involved conducting a survey of 200 MSMEs in Fiji and Tonga. The study concluded that financial problems faced by the MSMEs could be divided into three broad categories: financing problems; operational and administrative problems; and sales and debtors problems. The 19 financial obstacles tested in this research falls under these broad categories.

This research is original and highly value to a wide range of readers. Scholars, practitioners, aid donors are widely interested to understand the status of MSMEs in Fiji and Tonga. Research of this nature has never been conducted in Fiji.

There is sufficient evidence to prove that the improved health status of a nation’s citizens results in economic growth and development via improved functionality and productivity of labor. It is also commonly accepted that healthcare expenditure significantly influences health status through, for instance, improving life expectancy at birth and reducing morbidity, death, and infant mortality rates. Within healthcare, medicines account for a considerable share of health-related expenditure in both developed and developing countries. Therefore, it seems reasonable to assume that improved access to medicines is likely to contribute not only to the well-being of families and individuals but also to the economic growth and development in all societies. It has been widely advocated that pharmaceutical multinational enterprises (MNEs) can play an important role to address this problem, as they develop and supply a significant proportion of the drugs imported by low- and middle-income countries. This chapter is dedicated to a systematic review of literature in order to identify the strategies implemented by pharmaceutical MNEs to improve access to medicines in the low- and middle-income countries. A total of 76 research articles have been identified, and we have found that the main strategies of pharmaceutical MNEs are related to improving health outcomes through R&D, establishing partnerships for product development, pricing strategies to improve access to medicines, technology transfer, licensing agreements, and nonmarket efforts to improve access to medicines, among other strategies to overcome barriers imposed by intellectual property rights. We have also found that pharmaceutical MNEs’ strategies take place within a complex system and often involve interactions with a wide range of actors, such as international organizations, governments, private not-for-profit sector, universities and research institutes, and generic manufacturers. However, there is still a need for major progress in the field of access to medicines, and pharmaceutical MNEs should be more active in this field in order to avoid potential negative consequences, such as loss of legitimacy and compulsory licensing of their patented medicines.

This paper examines the relationship between timing of negotiations and idiosyncratic deals (i-deals) through the moderating effects of core self-evaluations (CSE), and between i-deals and employee reactions through the moderating effects of transformational leadership behaviour (TLB) in the Indian hospitality industry.

A total of 275 employees working in 39 companies responded to a self-administered questionnaire. To test the research hypotheses, the methodology of structural equation models was used.

The results show that the relationship between before hiring negotiations and i-deals is stronger for those individuals who had low self-worth, due to countervailing forces created by their belief that they may not be eligible for i-deals. In contrast, the relationship between after hiring negotiations and i-deals is stronger for those who had high self-worth, due to their belief that they were entitled to i-deals. Additionally, the research highlights that the relationship between i-deals and employee reactions is stronger for those organisations, which are high on TLB.

The data does not allow for investigating dynamic causal inferences, because they were collected using a questionnaire at a single point in time, and they were reported in retrospect, raising measurement concerns about recall bias.

From a managerial point of view, the findings of this study inform that in negotiating both employment conditions and work arrangements, organisations should try to achieve i-deals that are primarily flexibility focused, and that in increasing efficiency organisations should make the employees feel well supported in order to develop more confidence in deploying skills and abilities to address a more open view of their i-deals.

The study contributes to our understanding about the Indian hospitality industry by utilising the self-enhancement theory in examining whether individual differences moderate the relationship between the timing of negotiations and i-deals, and also by utilizing the social exchange theory to examine whether TLB moderates the relationship between i-deals and employee reactions.

Risk management in supply chain (SC) is not an easy task due to different uncertainty and intricacy. Management of risk is necessary for smooth operation of SC. The purpose of this paper is to demonstrate multi-criteria decision-making (MCDM) approaches to select the best SC which has minimum risks.

In proposed methodologies different steps, i.e. goal, risk attributes, risk sub-attributes and alternatives are identified for the selection of best SC using analytical network process which is being followed by the Multi-Objective Optimization by Rational Analysis method.

Findings of this paper are highly valuable for Indian manufacturing industries for risk management in SC. It helps the researchers and managers to deal with different types of uncertainty and risks associated with SC.

This research is limited only for risk management in SC. Other issues in SC can be analyzed and further extended by other MCDM approaches.

This paper identified the different risks in SC and a systematic way to find out the best SC which helps the researchers and managers in risk mitigation.

In today's globalized business environment, growing supply chain complexity (SCC) is arguably a major threat to the firm's business continuity with an adverse impact on the firm's competitive advantage and business performance. Researchers, though, investigated the impact of SCC drivers on a firm's operational performance, but the key question “Which supply chain complexity drivers severely impact the supply chain performance (SCP)?” remains largely unanswered from empirical research. The present study aims to decompose the SCC into four major constituting sub-categories (upstream, operational, downstream and external) to explore the causal impact of SCC drivers on SCP in direct and mediated manner.

The indicators applied for measuring constructs in the “Measurement model” are obtained from existing literature to increase the validity and reliability of the model. First, a pilot survey involving 25 SC managers from various manufacturing firms was conducted for indicator refinement and content validation. Second, the large-scale response data were collected through extensive surveys. This research explores the causality by testing the hypothesis applying Structural Equation Modeling (SEM) based on the responses received from 246 firms.

The study investigates the impact of SCC drivers on SCP through direct and mediation effect. The results indicate that upstream and operational SCC drivers play a mediating role in managing SCP. The findings reveal that upstream and operational SCC drivers adversely impact the SCP. Furthermore, the impact of downstream complexity on SCP is moderated through operational complexity drivers. The result explains the theoretical relation among SCC drivers supported by empirical validity.

The outcome offers practical relevance to supply chain (SC) managers in SCC and SCP management. Knowing the effect of SCC drivers among themselves and on SCP will facilitate the SC managers in devising the right strategies. The study provides a framework for prioritizing the resource in addressing the SCC issues among many.

The study addresses the apparent gap in the literature by modeling the impact of SCC drivers on SCP, which remained largely unexplored. First, it contributes to developing complex relationships among SCC drivers. Second, the direct and mediated causal effect of the SCC drivers individually and combinedly on SCP are explicated.