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The purpose of this paper is to investigate the influential factors of the antecedents of relationship quality (RQ), RQ, and long-term relationship orientation between the members that constitute the insurance marketing channel.

This study uses in-depth interviews as well as a survey to examine long-term relationship orientation between life insurers and insurance intermediaries in Taiwan.

Results indicate that antecedents of RQ (customer orientation, expertise, similarity, and contact intensity) have a positive effect on RQ. Relationship qualities (trust, satisfaction, and commitment) have a positive effect on the long-term relationship orientation. The antecedents of RQ have a positive effect on the interaction of long-term relationship orientation through mediating effects of RQ.

It fills a gap in the literature by explores the long-term cooperative relationship between life insurers and insurance intermediaries based on the RQ perspective. Further, previous studies have focused on the automobile, food, electronic information, textile, and financial industries. Few studies have looked at insurance marketing outsourcing from a RQ perspective. Thus, this study will be useful to decision makers in the insurance industry seeking to improve their supplier-distributor relationships.

This paper aims to examine the influence of distribution systems and customer loyalty on firm performance.

Efficiency scores and profitability are used as the proxies for performance. The data envelopment analysis approach is used to calculate efficiency scores. The sample is from the Taiwanese life insurance industry.

The results suggest that a multiple distribution channel strategy performs worse than a single distribution channel strategy in terms of efficiency and profitability. It is also found that agent turnover rate is negatively related to technical efficiency, cost efficiency, and profitability. The evidence also suggests that insurers with higher customer loyalty perform better than insurers with lower customer loyalty.

The paper's results can assist insurers to make decisions on distribution channels and improve agent turnover rate and customer loyalty.

Malaysia has shifted from a labor-intensive, agriculture-based economy since its independence in 1957 to a knowledge and innovation-based economy. Human capital development (HCD) is a key enabler for driving and sustaining Malaysia's socioeconomic growth. The education and training system is the main platform for HCD intervention. To sustain and achieve goals, long-term survival, competitive advantage, and sustainability, the workforce is optimized through comprehensive HCD interventions to provide the necessary knowledge, skills, and competencies needed to work effectively in a rapidly changing and complex environment. Numerous efforts have been made by the government to ensure that the education and training system has the capacity to enhance the quality and availability of intellectual and skilled human capital to support the transition toward knowledge-intensive activities, sustain economic growth, and compete in the global market. The country's development plans and policies as well as the economic development which lead toward a knowledge-based economy with a knowledge-based workforce have charted out clear transformation journeys for the development of the human capital ecosystem. This chapter presents an overview of the landscape of HCD in Malaysia. Relevant reports, plans, policies, and strategies to strengthen human capital through education and training is reviewed. Finally, a few issues and challenges that Malaysia experiences are discussed.

The main purpose of present study is to model the replacement policy under uncertainty for managerial application based on grey-reliability approach by considering the subjective views of quality control circle (QCC). The study objectively links the optimality between individual replacement and group replacement policies for determining the minimum operational costs. The integrated framework between QCC, replacement theory, grey set theory and supply chain management is presented to plan replacement actions under uncertainty.

The study proposes the concept of grey-reliability index and built a decision support model, which can deal with the imprecise information for determining the minimum operational costs to plan subsequent maintenance efforts.

The findings of the study establish the synergy between individual replacement and group replacement policies. The computations related to the numbers of failures, operational costs, reliability index and failure probabilities are presented under developed framework. An integrated framework to facilitate the managers in deciding the replacement policy based on operational time towards concerning replacement of assets that do not deteriorate, but fails suddenly over time is presented. The conceptual model is explained with a numerical procedure to illustrate the significance of the proposed approach.

A conceptual model under the framework of such items, whose failures cannot be corrected by repair actions, but can only be set by replacement is presented. The study provides an important knowledge based decision support framework for crafting a replacement model using grey set theory. The study captured subjective information to build decision model in the ambit of replacement.