Search results

The paper aims to study market dynamics in the backdrop of information symmetry and quality perception. The position of high quality products (HQPs) in the market is a focus of this analysis. Also, an attempt is made to unfold the prevailing parametric relationships in the market of developed and developing nations.

Related literature is reviewed and investigation is attempted into market dynamics. System dynamics is used for preliminary modelling and analysis. Simulation runs are carried out to assess the impact of company reputation and advertising on market parameters.

Behaviours of market parameters are unraveled. From using correlation analysis and analytic hierarchy approach, the policy measures to improve the HQP position in the market are revealed.

The study of some aspects of market dynamics is attempted. Further, study and modelling are required to completely understand the market behaviour.

The model has a practical relevance to implement quality perception enhancement by deciding on the policy mix.

This is a start for systems analysis of the market, which may offer a long‐term foundation to market dynamics.

Prevailing information asymmetry in business processes alters the market dynamics. Quality uncertainty ensues from this phenomenon. Philosophy of information economics is implemented to correlate total quality management (TQM) practices in industry with quality perceived by customers. Quality perception, a newly coined term, is discussed at length, along with causal factors. This paper aims to provide a system dynamics framework for quality perception and to investigate the role of the changing level of market‐side enablers on quality perception.

System dynamics is used for modeling and analysis. To realize the impact of information asymmetry on quality perception, simulation runs are carried out for an Indian case.

Enablers, such as advertising, word‐of‐mouth, rebate, warranty and guarantee, mitigate the effect of information asymmetry on quality perception, and commensurately translate TQM to market value.

The study of some aspects of information asymmetry and quality perception is attempted. Further study is required to understand repercussions of information asymmetry on the complete supply chain processes.

The model has a practical relevance to implement quality perception enhancement by deciding upon the policy mix.

With quality perception defined and modeled, the paper attempts market orientation to quality paradigm.

The paper aims to explore how the participants in the closed-loop supply chain (CLSC) select collecting strategies under the scenarios of information symmetry and asymmetry, and to investigate the value of corporate social responsibility (CSR) cost information for participants.

This paper constructs a two-echelon CLSC Stackelberg game consisting of one manufacturer and one retailer, where the manufacturer undertakes CSR and is responsible for the remanufacturing of used products. First, the authors establish two collecting models under information symmetry: manufacturer-collecting and retailer-collecting. Second, the authors construct two collecting models under information asymmetry and propose a two-part tariff contract to coordinate the participants’ profits. Finally, the authors make a numerical analysis to verify the results.

Under information symmetry, the profit of the participant who does not undertake collecting is positively related to the collecting rate, and the other participant may not benefit from the increase in the collecting rate. Under information asymmetry, the manufacturer will still select the retailer-collecting channel. Asymmetric information only affects the retailer’s selection. In addition, the manufacturer’s private CSR cost information is always valuable to the retailer.

This paper first explores the influence of the CSR cost information value on the selection of collecting channel under information asymmetry in the CLSC. The results can help company managers choose optimal collecting channel under information symmetry or under information asymmetry.

Total quality management (TQM) at the industry end along with quality function deployment (QFD) molds product quality. It flows to the customer at the market end with a value called quality perception, embedding the concept of probability of acceptance and quality uncertainty. The purpose of this paper is to analyze and validate the existence of upcoming term “quality uncertainty” in the backdrop of information asymmetry.

Theories of probability and reliability engineering are used for mathematical modeling and analysis. Fault tree and success tree method is specifically applied to analyze quality uncertainty and quality perception at the market end.

Quality perception is an outcome of combined probability of information symmetry and TQM or product quality, whereas its inverse is quality uncertainty. Determining quality perception or uncertainty of any product type is possible in a market scenario, and its impact on product life cycle and company revenue can be accessed accordingly.

The model proposed here helps compute information symmetry and quality perception at the market end. More data exploration methods can be investigated to apply this model precisely in real life setting.

It is of equal importance to measure quality uncertainty due to information asymmetry and commensurate revenue loss to the company. Based on this, a policy mix of maneuvering for quality perception enhancement can be developed at both ends of supply chain processes.

With quality perception defined and modeled, the paper attempts market orientation to quality paradigm. It adds a new dimension to quality management.

The purpose of the study is to examine whether superiors (i.e. principals), who evaluate the performance of their subordinates (i.e. agents), take information asymmetry into account by assuming that subordinates shirk when the accounting system does not provide information on subordinates’ effort levels. A decision making experiment was conducted to examine the effect of information asymmetry on effort attribution and the effect of effort attribution on performance evaluation. The results show that the presence of an agency problem significantly affected managers’ beliefs regarding the level of effort they attributed to the subordinate, which affected their evaluation of the subordinate.

The high uncertainty of technological innovation in megaprojects brings great challenges to the R&D institution and also acts as a trigger for moral hazard. The incentive and supervision are effective means to improve the performance of innovation. The purpose of this paper is to propose appropriate incentive and supervision mechanisms to reduce information asymmetry and improve the efficiency of incentives. Suggestions on technological innovation are put forward to megaprojects management.

According to the principal-agent theory, the research develops incentive models under three states, i.e. information symmetry, information asymmetry and information asymmetry based on supervision mechanism. The Bayesian theory is employed to prove the effectiveness of the novel supervision method based on risk assessment.

The results indicate that under the information asymmetry, the incentive intensity is positively correlated with the social benefits coefficient, and negatively correlated with the patent benefits coefficient. The R&D effort and the owner's incentive intensity decline with the increase of information asymmetry. The supervision of risks can effectively reduce the degree of information asymmetry, and the higher the uncertainty of innovations, the more significant the effect of supervision is. As the supervision intensity increases, the incentive intensity, the R&D effort and the innovation output will increase. In addition, the R&D institutions with high innovation capability, low unit cost of R&D and low risk-aversion are more willing to make efforts to innovate.

This study fills the research gap on incentive and supervision of technological innovation in megaprojects. The externality of innovation benefits is considered in the model. The traditional incentive model is extended through the introduction of supervision. Furthermore, a novel supervision method based on risk assessment is proposed. The results validate the importance of risk management in technological innovation and provide a new insight for project management.

Research suggests that service‐dominant designs are superior to goods‐dominant; but why? The purpose of this paper is to answer three questions. First, in what way is a service system based on service‐dominant logic (SDL) superior to one based on goods‐dominant logic (GDL)? Second, which characteristics of the service system facilitate the co‐creation of value‐in‐context as perceived by the customer? Third, how do customers describe the contents of these characteristics?

In an experiment, the authors compared two different service systems designed with different mindsets. The experiment was carried out with a group of habitual bus travellers to plan a specific journey using two online service systems by two different organizations; one exhibited a goods‐dominant mindset, and the other a service‐dominant mindset. The subjects' opinions of the two systems were gathered, and sentiment analysis was performed on the opinions to uncover the rationale behind the operational superiority of an SDL‐based system in value co‐creation.

The sentiment analysis identified three key differentiators: intangibles; operant resources; and information symmetry as the reason why an SDL‐based service system is superior to a GDL‐based system. The study also identified specific attributes linked to the key differentiators that could be built into a service system design and verified during a review of that design.

The paper contributes to research by: showing why an SDL based service system is superior to a GDL based one; proposing guidelines for service system design based on SDL to arrive at a favourable customer experience; and to managers by showing that customers have much to contribute in service development and realisation.

The purpose of this study is to investigate the effect of anarchist accounting (AA) on stakeholder relationship capability (SRC) in the context of Iranian capital market companies.

This study is based on a descriptive survey-correlation data collection method. As this study is on (AA) and (SRC) in Iran, the population of the study is made up of all financial managers and heads of the accounting department of capital market companies in Iran. Among 185 companies (Tehran Stock Exchange [TSE]), 100 companies were selected as samples which are all in the TSE. As suggested by Niles (2006), a minimum sample size of 10% of the population is generally acceptable. A questionnaire survey was adopted in obtaining primary data for this study. Thus, based on Cochran sampling techniques, 395 questionnaires were returned and became the basis of analysis. Also, partial least square was used to test the research hypothesis.

The statistical findings indicate the fit of the structural desirability of the factor load and according to the standardized coefficient (path coefficient), the dimensions of AA have a negative and significant effect on SRC, because the path coefficient is positive.

Theoretically, to the best of the authors’ knowledge, this study is the first research that tries to examine the stakeholder relationship capability through the link between social/political approaches with accounting procedures, an issue that has not been considered in any prior study. Also, conducting the present study in the conditions of social distrust in the Iranian capital market can be important, because the expansion of anarchist accounting helps to create a level of symmetry and equality in information disclosure and it can create value for shareholders.

Contemporary supply chain relationships inherently rely on delegation of work between organizations and, thus, are subject to agency problems for which a wide range of governance mechanisms exist. This review of agency theory (AT), across four distinct fields, explains the connection between governance mechanisms and supply chain relationship types.

The study uses a systematic literature review (SLR) of articles using AT in a supply chain context from the operations and supply chain management, general management, marketing, and economics fields.

The authors categorize the governance mechanisms identified to create a typology of agency relationships in supply chains.

The developed typology provides parsimonious theory on different forms of supply chain agency relationships and takes a step towards a “supply chain-oriented agency theory” explaining and predicting relationship types and governance in supply chains. Furthermore, a future research agenda calls for more accurate measuring of agency costs, to examine residual gains alongside residual losses, to take a dual-sided perspective of agency relations and to adopt AT to examine more complex supply networks.

The review provides a menu of governance mechanisms and describes situations under which these mechanisms could be deployed to guide managers when developing their supply chain relationships.

The first review to combine and elaborate views from four major disciplines using AT as a lens to supply chain relationships. Expanding the traditional set of governance mechanisms provides academics and practitioners with a bigger “menu” of options to consider.

The paper has two main aims: to focus on how the spare parts optimization process was conducted in the Norwegian Defence procurement projects that had used the system approach based on OPUS10, and whether coordination issues affected the process and results; and to analyse empirical data in order to evaluate whether the theoretical claim of the system approach used through OPUS10, being better than other methods in terms of availability and spare parts investment cost holds up in reality.

Both qualitative and quantitative methods were used in order to answer the different questions of the study.

Very few Norwegian Defence projects have used the system approach through OPUS10. Empirical data however comply with the theoretical claims of potential large savings in spare parts investment cost and/or improvement in operational availability. Several organizational factors can explain the lack of use of OPUS10. The most important being lack of resources, lack of a centralized concept and a somewhat low‐project leader attitude towards the approach.

The study of Norwegian Defence cases makes generalizations of findings not applicable. The research model could however easily be transferred and utilized in the study of other organizations' spare parts optimization processes.

The Norwegian Defence should alter their concept for project governance and management in order to gain the full potential of the system approach used through OPUS10.

Few research papers have evaluated the promising theoretical findings of system‐based optimization based on empirical operational data. Even fewer, if any, studies have used a combination of factors from organization theory, economic organization theory and operation management theory in order to explain findings based on predefined hypotheses. This research should have value for both practitioners and researchers within the field spare parts optimization in general and systems management in particular.