Search results

This study identifies barriers faced by online e-waste collection platforms in India and proposes a novel approach to manage strategies that contribute towards making such online platforms economically, socially, and environmentally sustainable by mitigating their interacting barriers.

The approach consists of a barrier assessment process and a strategy evaluation and planning process. The barrier assessment process uses multiple criteria decision making (MCDM) based method to evaluate the interactive effects of the barriers to derive their direct and indirect impacts on sustainability. The strategy evaluation and planning process evaluates the overall contribution value of strategies for mitigating interacting barriers and then categorizes them into planning zones based on their contribution and feasibility.

The interaction among the barriers is a significant component of the overall impact of the barriers on sustainability. The most impactful barriers are the lack of dissemination of information, lack of government support, insufficient infrastructure, and awareness and attitude of consumers. Lack of government support is the most influential causal barrier. Lack of information dissemination is a significant causal barrier with the highest overall impact on sustainability. Priority strategies that must be implemented to ensure sustainability include government support, offering higher prices or discounts for giving up e-waste, and increasing information dissemination.

Different from existing approaches for evaluating sustainability strategies, the strategies in this study are identified and evaluated based on their overall contribution towards mitigating interacting barriers to sustainability. The approach is applied in the Indian context to reveal the most influential barriers to the sustainability of online e-waste collection platforms and the most effective strategies for mitigating these barriers. The outcomes of this study contribute to strategy planning for sustainable online e-waste collection platforms in India.

Presents a customer‐focused approach to effective planning of make‐to‐order production, in which production activities are driven by customer orders and all products are made to customers’ specifications. The approach plans, schedules, and co‐ordinates production activities, based on the needs of individual customer orders. In particular, an integrated bill of material and routeing data structure is used to effectively organise production data in response to product specifications of customer orders. It facilitates the creation of production jobs with varying routeings and material requirements. A job‐oriented finite capacity scheduling system is used to effectively accommodate specific needs of individual customer orders. It allows for realistic setting of delivery dates and negotiation of order changes. Key features of the approach presented show its effectiveness in planning multi‐item customer orders and multi‐level products.

The work sequence indicated by a production schedule generated by existing scheduling techniques may not necessarily meet the need for efficient sequencing of day‐to‐day shop floor operations in a dynamic job shop environment. The purpose of this paper is to present a new practical approach to efficiently sequencing day‐to‐day shop floor operations of a job shop.

A color coding and priority system is introduced to identify production jobs that are to be processed at work centers which have a work sequence preference for performing various jobs. Based on a realistic production schedule, a three‐phase sequencing method is developed to create a truly feasible shop schedule, with the most efficient work sequence possible.

Specific features of the approach are presented and illustrated with a numerical example. It enables production jobs to be run in the best possible way at individual work centers. Various options of implementing the approach in practical applications are discussed.

The approach serves as an enhanced supplement to a job shop operations scheduling system for efficient sequencing of shop floor operations. It is to be implemented at the shop floor level.

The approach can be implemented as a real‐time computer integrated shop dispatching system to ensure an efficient work sequence for shop floor operations of job shops in actual industrial settings.

The paper addresses the need for effectively coordinating production jobs of varying routings on the shop floor, which cannot be met by existing scheduling techniques or shop dispatching practice. It provides manufacturing practitioners with a structured approach for managing shop floor operations.

An effective production planning and control system requires combining the bill of material (BOM) and routeing data to reflect the material flow through the production process. Presents an integrated BOM and routeing data model which allows flexibility in handling relationships between materials and operations to suit specific needs. It can also be used as a standard data resource for creating production jobs. Maintaining job data independently of the BOM and routeing data allows the system to accommodate a wide range of production variations in practice. In a make‐to‐order environment, jobs are created for making line items on customer orders. To manage customer orders better, develops an extended job model to allow line items of a customer order to be made by one job. Perceives the concept of the extended job model as having considerable value in a wide range of production applications.

The paper aims to examine how trust interacts with factors affecting interorganizational knowledge sharing in green supply chains, where cooperation and competition coexist.

A new research model is developed which comprises nine constructs and 13 research hypotheses, with trust as a mediating construct. The nine constructs are measured by well‐supported measures in the literature. The hypotheses are tested on data collected from 288 major green manufacturing firms in Taiwan, using structural equation modeling.

The paper finds that trust is the pivot of the factors influencing interorganizational knowledge sharing. The more a factor contributes to trust positively (such as participation and communication) or negatively (such as opportunistic behavior), the more the factor contributes to knowledge sharing correspondingly. The factors with no significant influence on trust (such as shared values and learning capacity) have no or less influence on knowledge sharing.

The empirical study is conducted on green supply chains, with data collected from Taiwan's green manufacturing firms. With the research model developed, cross‐industrial studies on various forms of supply chains can be conducted to investigate whether differences between supply chains exist about the role that trust plays in interorganizational knowledge sharing.

The findings of the paper provide useful insights into how supply chain members should reinforce their collaborative behaviors and activities that would enhance the trust‐based relationships, in order to achieve the competitive advantage of knowledge sharing for the supply chain as a whole.

The new research model developed allows the relationships between trust and other influencing factors on interorganizational knowledge sharing to be explored. The model reflects the coexistence of the cooperation and competition relationships between supply chain members, which is not dealt with in previous studies.

The feasibility and desirability of reverse logistics in market-motivated contexts are examined in China. Interactions between the major barriers, that hinder or prevent the application of reverse logistics in China are analyzed. Management’s key task is to diagnose barriers to the application of reverse logistics that could be crucial to the organization’s future survival. Simultaneity, a value delivery system exists to create value for customers and environments by supplying needed products and services. Value delivery systems are at the heart of every firm and, more than anything else, determine that, whether the firm survives in the marketplace or disappears into bankruptcy or takeover. The processes and model of market-motivated reverse logistics value delivery system are discussed, and the processes content and model are presented. Simultaneity, based on the advantage of the Third Party Reverse Logistics Providers (3PRLs) and Outsourced Service Providers, an integrated evaluation model is built to select 3PRLs by using the integrated decision-making methods. Reflecting the comprehensive information requirement, the Analytic Hierarchy Process and entropy approaches are applied to calculate the objective weights. A new kind of relative similarity degree is established by combining the Euclidean distance with the grey correlation degree. An example demonstrates the model’s efficiency.

The purpose of this paper is to investigate the problem faced by many Taiwanese restaurant owners who trying to set up their shops in Thailand.

Two surveys were conducted in this study. The first interview questionnaire was designed using the factors proposed by Parasuraman et al. (1988, 1991) and given to restaurant owners/managers who successfully set up shops in Thailand. The second questionnaire was constructed specifically for Thai consumers.

Gray relational analysis (GRA), theory of inventive problem-solving (teoriya resheniya izobreatatelskikh zadatch, TRIZ) and interpretive structural model (ISM) were used to identify potential difficulties and to determine the key factors impacting the shop establishment and development in Thailand. The results provide a set of strategic sequence when launching restaurant in Thailand.

A result of GRA determined 14 important factors that influence customer perception of quality service. A TRIZ analytic process provided 17 strategies when setting up overseas shop and the ISM class diagram shown the three phases needed to be considered before restaurant owners can set up shops abroad. The three phases are construction, operation and competition phases. These set of strategies sequence when launching a restaurant in Thailand.

The purpose of this paper is to: investigate whether the foreign institutional investors in Taiwan herd towards the stocks in the same industry; identify the causes of industrial herding; analyze whether herding behavior impacts future industrial returns; and trace the changing pattern of industrial herding, especially during the 2007‐2008 financial crisis.

This paper applies Sias' herding measure to identify foreign institutional industrial herding behavior. Moreover, to identify the causes and impacts of herding, the authors use regression models to analyze the relationship between foreign institutional demand for stocks in some particular industries and industrial returns, controlling industrial market capitalization, the number of firms in the industry and industrial speculative intensity. The above methods are applied to the full sample period, as well as two sub‐periods, respectively, to trace the time‐varying trading behavior.

First, on average, foreign institutional investors herd in the Taiwan securities market. They follow each other into and out of the same industries. Second, they were momentum traders in the tranquil period from 2002 to 2006 and contrarian traders in the period of 2007‐2008 financial crisis. Third, such herding behavior has positive impacts on future industrial returns both in the tranquil period as well as in turbulent time. The authors thus conclude that foreign institutional investors demonstrated contrarian trading strategies to stabilize future industrial returns in the financial crisis period; they buy past losers to support the prices and sell past winners to suppress the price volatility.

This paper investigates foreign institutional herding behavior in an emerging market, Taiwan on the micro setting of industrial base. It identifies the causes and impacts of foreign institutional industrial herding from the outlook of information‐base versus non‐information‐base trading. It also traces time‐varying herding behavior, especially during the 2007‐2008 financial crisis. This paper provides useful information to investors participating in emerging markets like Taiwan.

The purpose of this study is to examine the association between audit partners’ signing networks and accruals quality, using the sample of Taiwanese publicly traded companies.

This study uses four centrality measures as proxies in this study for the strength of the audit partners’ relationship networks and the absolute value of discretionary accruals to measure accruals quality.

Using the sample of publicly traded firms audited by the Big 4 accounting firms in Taiwan during the 2011–2017 period, this study finds that the centrality of an audit partner’s signing network is negatively associated with the absolute value of discretionary accruals. The result is robust to various discretionary accruals measures and survives the alternative explanation related to the endogenous matching between audit partners and their clients.

This study contributes to the understanding of the effect of the relationship network within an accounting firm on accruals quality. This is one of the few studies to empirically examine the strength of the audit partners’ relationship network as a factor in firms’ financial reporting quality, especially by using the sample from an emerging market. This study shows that the strength of the audit partners’ signing networks contains incremental information when assessing firms’ earnings quality. High-quality audit work is important to ensure high-quality financial reporting and the results of this study highlight that audit partners’ network linkages affect the quality of their work.

Complaint handling has the great influence on customer retention and provides a chance for businesses to improve service quality. This study intended to reveal the complaint actions of adolescent customers and perceptions of failure recovery in buffet restaurants with a linkage of family communication patterns.

A consumer survey was administered in the metropolitan area of Taipei. Quota sampling procedure was applied following the age and gender distribution of the population between the ages of 13 and 19. Consent from parents was obtained prior to the survey.

Based on the results of the study, adolescent customers with high concept‐ and high socio‐orientation were prone to complain for dissatisfaction. Private actions were preferred by adolescent customers to express dissatisfaction, followed by using the internet or through actions of parents. For service recovery, adolescents preferred to have discounts, followed by free desserts. The results indicated that adolescents were more straightforward and they wanted to have compensations immediately. Furthermore, service recovery satisfaction showed a positive relationship with repeat purchases. Adolescent customers who were satisfied with service or food compensations would be likely to have repeat purchases. Nevertheless, adolescents who were unsatisfied with the service or food recovery did not totally cease purchasing.

Buffet managers should give inducements to encourage adolescents to complain spontaneously. Buffet managers may offer discounts for the current consumption rather than coupons for next patronage. Adolescent customers with concept‐ and socio‐orientation will provide useful information for buffet managers to improve their service quality.

This study provides new insights into the area that has not been studied exclusively, complaint behavior of adolescent customers in buffet restaurants.