Towards Circular Economy implementation: an agent-based simulation approach for business model changes

This paper introduces an agent-based approach to study customer behavior in terms of their acceptance of new business models in Circular Economy (CE) context. In a CE customers are perceived as integral part of the business and therefore customer acceptance of new business models becomes crucial as it determines the successful implementation of CE. However, tools or methods are missing to capture customer behavior to assess how customers will react if an organization introduces a new business model such as leasing or functional sales. The purpose of this research is to bring forward a quantitative analysis tool for identifying proper marketing and pricing strategies to obtain best fit demand behavior for the chosen new business model. This tool will support decision makers in determining the impact of introducing new (circular) business models. The model has been developed using an agent-based modeling approach which delivers results based on socio-demographic factors of a population and customers’ relative preferences of product attributes price, environmental friendliness and service-orientation. The implementation of the model has been tested using the practical business example of a washing machine. This research presents the first agent-based tool that can assess customer behavior and determine whether introduction of new business models will be accepted or not and how customer acceptance can be influenced to accelerate CE implementation. The tool integrates socio-demographic factors, product utility functions, social network structures and inter-agent communication in order to comprehensively describe behavior on individual customer level. In addition to the tool itself the results of this research indicates the need for systematic marketing strategies which emphasize CE value propositions in order to accelerate customer acceptance and shorten the transition time from linear to circular. Agent-based models are emphasized as highly capable to fill the gap between diffusion-based penetration of information and resulting behavior in the form of purchase decisions.     

Analysing complaint intentions in online shopping: the antecedents of justice and technology use and the mediator of customer satisfaction

Complaint behaviours are the key to the competition in an online market when service quality is a major concern of consumers. An understanding of complaint intentions can provide insight into a negative service experience and in turn, effectively redress consumer's problems. It is our purpose to examine the determinants of complaint intentions in the online shopping. When online consumers essentially involve the purchase of products/services and the use of web-based technologies, two major issues particularly arise in this context, exchange behaviour and technology use. This study thus integrates justice perception and expectation–confirmation model (ECM) of information system continuance to understand customer satisfaction and in turn, complaint intentions. Data were collected for online consumers with negative service experiences. The results of testing the structural model indicated that distributive and interactional justices significantly contribute to customer satisfaction and complaint intentions, but procedural justice does not. ECM-based features, such as perceived usefulness, are all important in determining customer satisfaction and complaint intentions. The implications for managers and scholars are further discussed.     

Towards a framework for evaluating investments in data warehousing

Data warehousing technology offers organizations the potential for much greater exploitation of informational assets. However, the evaluation of potential investments in this technology poses problems for organizations as traditional evaluation methods are constrained when dealing with strategic IT applications. Nevertheless, many organizations are procedurally obliged to use such methods for evaluating data warehousing investments. This paper identifies five problems with using such methods in these circumstances: evaluating intangible benefits; making the relationship between IT and profitability explicit; dealing with the vanishing status quo; dealing with the extended investment time frame; and evaluating infrastructural investments. The authors studied how four organizations in the UK and Ireland attempted to overcome these problems when introducing data warehousing, and propose a framework for evaluating data warehousing investments. This framework consists of a high‐level analysis of the economic environment and of the information intensity of the relationship between the organization and its customers. Based on the outcome of this analysis, the authors propose four factors that have to be managed during the evaluation process in order to ensure that the limitations of the traditional evaluation techniques do not adversely affect the evaluation process. These factors are: commitment and sponsorship; the approach to evaluation; the time scale of benefits; and the appraisal techniques used.     

Consumer perception of interface quality, security, and loyalty in electronic commerce

Customer interface quality, perceived security, and customer loyalty are critical factors for success of an e-commerce website; however, the relationships among them are not fully understood. We proposed a model for testing the relationships among them and the important outcomes of the site: switching costs and customer loyalty. Data was collected to test the model using a web-based survey, and empirical analyses were performed using SEM. The analytical results demonstrated that customer interface quality and perceived security positively affected customer satisfaction and switching costs, and thus customer loyalty to an e-commerce website. Specifically, our study showed that switching costs positively moderated the effect of customer satisfaction on customer loyalty; this moderating effect is discussed.     

Examining business value of customer relationship management systems: IT usage and two-stage model perspectives

Empirical evidence for the business value of customer relationship management (CRM) systems remains unsolid in IS studies. This study proposes a new model for CRM value according to IT/IS usage theory and “two-stage model.” Empirical tests show that operational benefits of CRM are reflected in firms’ high revenue per employee, which leads to high profitability; strategic benefits of CRM are reflected in firms’ high customer satisfaction, which leads to high profitability and market valuation. Firm size positively moderates the operational and strategic benefits of CRM, while the industry’s product differentiation level negatively moderates operational and strategic benefits of CRM.     

How does business analytics contribute to business value?

This paper presents a model, synthesized from the literature, of factors that explain how business analytics contributes to business value. It also reports results from a preliminary assessment of that model. The model consists of two parts: a process and a variance model. The process model depicts the analyze‐insight‐decision‐action process through which use of an organization's business analytic capabilities is intended to create business value. The variance model proposes that the five factors in Davenport et al.'s DELTA model of business analytics success factors, six from Watson & Wixom and three from Seddon et al.'s model of organizational benefits from enterprise systems, assist a firm to gain business value from business analytics. A preliminary assessment of the model was conducted using data from 100 customer success stories from vendors such as IBM, SAP and Teradata. Our conclusion is that the business analytics success model is likely to be a useful basis for future research.     

Collaborative product innovation: integrating elements of CPI via PLM framework

Information technology has evolved over the last few decades at an extremely rapid pace. In the last few years, Internet technology has contributed towards how organizations mature, evolve their business, implement processes and chalk out business strategies for product development to meet customer requirements. Yet the true potential of technology lies in its ability to connect people, processes and information and for this to be realized the target user group for technology will have to be a captive audience. For organizations the world over this captive audience are its employees, suppliers and customers.This paper attempts at integrating three topics using a technology framework for capturing the benefits that can be harnessed by organizations, these are Collaboration, Product Development and Innovation, as the topic suggests, CPI, ‘Collaborative Product Innovation’.     

基于95598大数据的电力客户满意度分析

客户满意度反映了客户期望值与客户体验的匹配程度,是评价客户服务质量的一个重要指标。在电力客户满意度研究中,最重要的是获取真实的客户满意度评价结果。本文利用电力客户服务所积累的真实业务数据,提出了基于分层结构的客户满意度得分判定方法,该方法具有严谨的三层结构设计,与实际数据紧联系,逻辑逐层递进,互为补充,从而实现了从模糊的满意度评价到直观的满意度得分的顺利转化。随后通过实际应用案例研究,将电力客户满意度评价与具体的业务过程相联系,提出研究技术路线,对抽取的业务数据进行满意度得分转化,并利用R语言挖掘客户满意度较低的深层原因。所提方法突出了电力客户服务测评的综合性,能客观地从用户体验的角度反映服务质量,具有现实应用价值。     

Factors influencing consumers’ repurchase behavior on fresh food e-commerce platforms: An empirical study

The e-commerce of fresh commodities keeps being adaptive to the change of consumer consumption attitudes and behavior in the current era of global economy. In the fierce competition of the industry, how to attract and retain customers more efficiently and increase consumer repurchase behavior is a long-term concern for fresh food e-commerce platforms. This research aims to focus on how the fresh e-commerce platforms can reduce consumer conversion to other forms of purchase and increase consumer repurchase. In this paper a research model is constructed whereby a set of perceived value scales is generated to evaluate consumer repurchase behavior. Data from a sample of 515 consumers is collected through a web-based questionnaire, and structural equation modeling is used to test the research hypotheses and empirically investigate the factors and internal mechanisms influencing repurchase behavior on fresh e-commerce platforms. Results from the analysis show that the product quality and product price from the product-side, perceived ease of use, reliability, response speed and convenience from the service-side, and subjective norms of the consumer personal factors impose significant effects on consumer satisfaction. consumer satisfaction plays a key mediating role in consumer repurchase behavior. Guidance and suggestions for the operation processes of e-commerce platforms are developed based on these key factors to cultivate customer loyalty and attract potential customers more specifically. Moreover, the examination of the factors from the three dimensions promotes the e-commerce platforms to raise their service level by enhancing their supply chain as the bottom rocks of the platform enterprises.     

Adaptive feedback generation to support teachers in web-based distance education

This work examines the application of user-adapted technologies to address problems experienced in web-based distance education. We have proposed an approach to support distance learning instructors by offering advice that points at problems faced by students and suggests possible activities to address these problems. The paper describes an original feedback generation framework which utilises student, group and class models derived from tracking data in web course management systems, and follows a taxonomy of feedback categories to recognise situations that are brought to the instructors’ attention. The results of an empirical study in an online learning course point at benefits of the generated feedback to both instructors and students. Teachers can get a better understanding of their students by knowing what problems they may be facing, when they are behind or ahead of their peers, who can help them and how, and what roles can be assigned in discussion forums. This, in turn, can have a positive effect on students who can receive feedback tailored to their needs and problems. The evaluation study points at issues that can be related in general to planning empirical evaluations of user-adapted systems in realistic web-based learning settings.