Pub Date : 2004-01-01DOI: 10.1504/IJECRM.2007.017797
R. Hackney, A. Ranchhod, M. Hackney
This paper presents a conceptual analysis of contemporary psychological theories to develop marketing practice. It attempts to further understand approaches that often fail to recognise subtle complexities associated with customer attention. This is important in marketing strategies where organisational objectives, consumer behaviours and individual preferences are systematically investigated. The intention is to augment concepts from technology-enabled Customer Relationship Management (CRM) towards an exploratory framework, designed to explore the nature of attention. Further research is suggested, through theoretical constructs and empirical analysis to further understand, so called a-commerce. These approaches will offer valuable insights into future successful marketing.
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Pub Date : 2004-01-01DOI: 10.48009/2_iis_2009_364-371
W. Sha
This study examines the influence of different types of structural assurance on consumer purchasing intentions in business-to-consumer (B2C) electronic commerce. Prior research findings regarding how different types of structural assurance impact consumer purchasing intentions has been limited. Based on the institution-based trust theory, perceived trust theory and the psychological contract theory, this study proposes that perceived vendor guarantee and perceived seals of approval would have positive influence on consumer intentions through psychological contract and perceived trust. Results of this study confirmed the significance of perceived vendor guarantee and perceived seals of approval and the importance of perceived trust in the nomological network.
{"title":"Examining Mediators of Structural Assurance Constructs in Business-To-Consumer E-Commerce","authors":"W. Sha","doi":"10.48009/2_iis_2009_364-371","DOIUrl":"https://doi.org/10.48009/2_iis_2009_364-371","url":null,"abstract":"This study examines the influence of different types of structural assurance on consumer purchasing intentions in business-to-consumer (B2C) electronic commerce. Prior research findings regarding how different types of structural assurance impact consumer purchasing intentions has been limited. Based on the institution-based trust theory, perceived trust theory and the psychological contract theory, this study proposes that perceived vendor guarantee and perceived seals of approval would have positive influence on consumer intentions through psychological contract and perceived trust. Results of this study confirmed the significance of perceived vendor guarantee and perceived seals of approval and the importance of perceived trust in the nomological network.","PeriodicalId":93486,"journal":{"name":"Proceedings of the ... Americas Conference on Information Systems. Americas Conference on Information Systems","volume":"1 1","pages":"484"},"PeriodicalIF":0.0,"publicationDate":"2004-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91385367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract : Since its inception in the 1960s, the Genetic Algorithm (GA) framework for solving complex problems has been simultaneously intensely studied and deployed. Despite wide-ranging practical successes in engineering, manufacturing, applied, and social science domains, developing GA-based systems has been more art than science. Consequently some researchers have attempted to build and test theories and models for robust GA design. Given this attention to "pure" Genetic Algorithm research and implementations, progress on a subsequent GA-based framework called Learning Classifier Systems (LCS) lay dormant until the late 1990s. Stalwarts in GA/LCS research have opined that to further advance the field and facilitate theory formation, a broad study of LCSs, particularly one that focuses on their cognitive aspects, is needed. I wish to contribute to this theory building effort by examining, using simulation modeling and analyses, how alternative LCS architectures learn to cope with other artificial entities in challenging, artificial environments created using variants of the Iterated Prisoners Dilemma (PD) Tournament setting.. The use of competing entities in this setting may be likened to a number of practical applications in which different agents must negotiate or compete with each other. One possible application is the use of computer-based agents in negotiations in a buying-selling situation. In such an environment, a buyer's agent must attempt to discern the seller's negotiation pattern, and then use this information to accomplish its objective. In this example, an LCS- based agent could be used in repeated encounters with the seller to improve its performance with regard to a measure of interest such as price, quantity or delivery time.
{"title":"Assessing the Cognitive Abilities of Alternate Learning Classifier System Architectures","authors":"D. A. Gaines","doi":"10.21236/ada416405","DOIUrl":"https://doi.org/10.21236/ada416405","url":null,"abstract":"Abstract : Since its inception in the 1960s, the Genetic Algorithm (GA) framework for solving complex problems has been simultaneously intensely studied and deployed. Despite wide-ranging practical successes in engineering, manufacturing, applied, and social science domains, developing GA-based systems has been more art than science. Consequently some researchers have attempted to build and test theories and models for robust GA design. Given this attention to \"pure\" Genetic Algorithm research and implementations, progress on a subsequent GA-based framework called Learning Classifier Systems (LCS) lay dormant until the late 1990s. Stalwarts in GA/LCS research have opined that to further advance the field and facilitate theory formation, a broad study of LCSs, particularly one that focuses on their cognitive aspects, is needed. I wish to contribute to this theory building effort by examining, using simulation modeling and analyses, how alternative LCS architectures learn to cope with other artificial entities in challenging, artificial environments created using variants of the Iterated Prisoners Dilemma (PD) Tournament setting.. The use of competing entities in this setting may be likened to a number of practical applications in which different agents must negotiate or compete with each other. One possible application is the use of computer-based agents in negotiations in a buying-selling situation. In such an environment, a buyer's agent must attempt to discern the seller's negotiation pattern, and then use this information to accomplish its objective. In this example, an LCS- based agent could be used in repeated encounters with the seller to improve its performance with regard to a measure of interest such as price, quantity or delivery time.","PeriodicalId":93486,"journal":{"name":"Proceedings of the ... Americas Conference on Information Systems. Americas Conference on Information Systems","volume":"69 1","pages":"441"},"PeriodicalIF":0.0,"publicationDate":"2003-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76537989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2003-01-01DOI: 10.31390/gradschool_dissertations.3782
Yurong Yao, E. Watson, Ye-Sho Chen, Andrea Houston
Application Services Providers (ASPs) exploit the economics of delivering commercial off-the-shelf software over the Interne to many dispersed users. This proposed study intends to develop an integrative model for ASP adoption decisions, which includes economic, strategic and social factors. This model will examine the individual effect of these factors and their interactions. The study will include both qualitative and quantitative techniques by employing case studies and a survey to empirically test the model. It will provide a valuable framework for understanding customers’ ASP adoption decisions and help ASPs to reevaluate their marketing and application strategies.
{"title":"An Integrative Model of Clients' Decision to Adopt an Application Service Provider","authors":"Yurong Yao, E. Watson, Ye-Sho Chen, Andrea Houston","doi":"10.31390/gradschool_dissertations.3782","DOIUrl":"https://doi.org/10.31390/gradschool_dissertations.3782","url":null,"abstract":"Application Services Providers (ASPs) exploit the economics of delivering commercial off-the-shelf software over the Interne to many dispersed users. This proposed study intends to develop an integrative model for ASP adoption decisions, which includes economic, strategic and social factors. This model will examine the individual effect of these factors and their interactions. The study will include both qualitative and quantitative techniques by employing case studies and a survey to empirically test the model. It will provide a valuable framework for understanding customers’ ASP adoption decisions and help ASPs to reevaluate their marketing and application strategies.","PeriodicalId":93486,"journal":{"name":"Proceedings of the ... Americas Conference on Information Systems. Americas Conference on Information Systems","volume":"35 6 1","pages":"463"},"PeriodicalIF":0.0,"publicationDate":"2003-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75873047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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