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JournalISSN: 1947-9603

International Journal of Service Science, Management, Engineering, and Technology 

IGI Global
About: International Journal of Service Science, Management, Engineering, and Technology is an academic journal published by IGI Global. The journal publishes majorly in the area(s): Service (business) & Computer science. It has an ISSN identifier of 1947-9603. Over the lifetime, 339 publications have been published receiving 3392 citations. The journal is also known as: IJSSMET.


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Journal ArticleDOI
TL;DR: In this paper, the core concepts of service-dominant logic (service-for-service exchange, value co-creation, value propositions, resource integration, and highly collaborative relationships) point to a generic actor conceptualization in which all actors engaged in exchange (e.g., firms, customers, etc.) are viewed as service providing, value creating enterprises.
Abstract: This article discusses how the core concepts of service-dominant logic—service-for-service exchange, value co-creation, value propositions, resource integration, and highly collaborative relationships—point to a generic actor conceptualization in which all actors engaged in exchange (e.g., firms, customers, etc.) are viewed as service providing, value-creating enterprises. In other words, all social and economic actors are essentially doing the same thing: creating value for themselves and others through reciprocal resource integration and service provision. The authors suggest that this generic actor-to-actor (A2A) orientation, in turn, points toward the dynamic and systemic nature of social and economic exchange. To account for the complexity, indeterminacy, and viability of these dynamic systems, they highlight the importance of general systems theory, complexity theory, and the viable systems approach and propose that cross-disciplinary scholarly efforts are necessary in order to develop models and frameworks that can simplify the complexity of social and economic exchange in meaningful ways and ultimately inform practice and public policy.

206 citations

Journal ArticleDOI
TL;DR: This article presents a survey of research papers that presented the use of deep learning in plant disease detection, and analyzes them in terms of the dataset used, models employed, and overall performance achieved.
Abstract: Deep learning has brought a huge improvement in the area of machine learning in general and most particularly in computer vision. The advancements of deep learning have been applied to various domains leading to tremendous achievements in the areas of machine learning and computer vision. Only recent works have introduced applying deep learning to the field of using computers in agriculture. The need for food production and food plants is of utmost importance for human society to meet the growing demands of an increased population. Automatic plant disease detection using plant images was originally tackled using traditional machine learning and image processing approaches resulting in limited accuracy results and a limited scope. Using deep learning in plant disease detection made it possible to produce higher prediction accuracies as well as broadened the scope of detected diseases and plant species considered. This article presents a survey of research papers that presented the use of deep learning in plant disease detection, and analyzes them in terms of the dataset used, models employed, and overall performance achieved.

71 citations

Journal ArticleDOI
TL;DR: This survey article covers the comprehensive overview of the last update in this field and includes the sophisticated categorizations of a large number of recent articles and the illustration of the recent trend of research in the MSA and its related areas.
Abstract: Multimodal sentiments have become the challenge for the researchers and are equally sophisticated for an appliance to understand. One of the studies that support MS problems is a MSA, which is the training of emotions, attitude, and opinion from the audiovisual format. This survey article covers the comprehensive overview of the last update in this field. Many recently proposed algorithms and various MSA applications are presented briefly in this survey. The article is categorized according to their contributions in the various MSA techniques. The main purpose of this survey is to provide a full image of the MSA opportunities and difficulties and related field with brief details. The main contribution of this article includes the sophisticated categorizations of a large number of recent articles and the illustration of the recent trend of research in the MSA and its related areas.

61 citations

Journal ArticleDOI
TL;DR: In this article, the authors identified the linkages between marketing mix elements and the purchase decision process among consumers in the Malaysian retail industry and verified that store image and store location have significant positive linkages with purchase decision.
Abstract: This research aimed to identify the linkages between marketing mix elements and the purchase decision process among consumers in the Malaysian retail industry. To fulfill this objective, the present study followed a quantitative survey for gathering the data from the consumers of department stores at the East Coast region in Malaysia. All of the obtained data were inserted and coded using SPSS and then analysed by AMOS 18. The findings indicated that the impact of advertising on the consumers' purchase decision is positive and statistically significant. Besides that, the findings demonstrated that distribution intensity has a negative effect on purchase decision, whereas price plays a key important role in affecting purchase decisions process of the consumers. Lastly, the findings of this paper verified that store image and store location have significant positive linkages with purchase decision. These outcomes enhance our understanding on the role of marketing mix elements in determining a consumer's purchase decision, particularly in the retail context.

60 citations

Journal ArticleDOI
TL;DR: The study addresses the gap related to wide divergence in dimensionality and structure of servicequality and contributes to the debate on whether the effect of service quality on behavioral intentions is only indirect or both direct and indirect.
Abstract: The present study aims to empirically test and evaluate the direct and indirect effects of service encounter constructs of service quality, customer satisfaction and service value on loyalty related behavioral intentions of customers in Indian Life services in India to determine the best fitting model Most studies based on comprehensive models of service constructs relationships have not considered alternative competing models The theoretical background and the empirical support for these issues derive mostly from prior studies in the developed markets of the US, UK and Canada Further, the study aims to contribute to resolution of the variance in structure and dimensionality of service quality (dimensionality) in literature by developing and validating a second order model of service quality which integrates the two dominant perspectives ie the Nordic and the American approach Design/methodology/approach: A second order scale of service quality was developed and validated by integrating the American and Nordic approach to Service Quality using exploratory factor analysis and confirmatory factor analysis The constructs of Customer satisfaction, service value and Behavioural intentions were validated using confirmatory factor analysis Two competing models of effects of the three service encounter constructs on Behavioral Intentions were tested using structural equation modeling The results show that Service quality is a second order construct consisting of the dimensions of Core service, Service Delivery, Sales Agent Quality, Tangibles and Empathy The process dimensions (sales Agent Quality and Service delivery) are most important in overall service quality perceptions The effect of service quality on positive behavioural intentions is both direct and indirect with the moderating effect of service value and customer satisfaction being significant The study contributes to research by developing and validating a hierarchical model of service quality and testing two competing models of direct and indirect effects of service quality on behavioral intentions so that there is better understanding of the simultaneous and composite interactions and effects of the three service encounter constructs The results would provide practitioners with a valid measure of service quality in life insurance services and would enable them to devise marketing strategies which enhance customer loyalty related behavioral intentions The study addresses the gap related to wide divergence in dimensionality and structure of service quality and contributes to the debate on whether the effect of service quality on behavioral intentions is only indirect or both direct and indirect

60 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
20239
202249
202157
202031
201919
201822