Vroom’s expectancy theory to motivate academic library users in India using grounded theory approach

2019 ◽  
Vol 68 (4/5) ◽  
pp. 300-322
Author(s):  
Komal Chopra
2019 ◽  
Vol 47 (3) ◽  
pp. 331-347 ◽  
Author(s):  
Komal Chopra

PurposeThe purpose of this paper is to understand motivation of young consumers to use artificial intelligence (AI) tools such as chatbots, voice assistants and augmented reality in shopping by generating Vroom’s expectancy theory of motivation using grounded theory approach.Design/methodology/approachGrounded theory approach has been used to develop the Vroom’s expectancy theory. Initially data were collected through participant interviews using theoretical sampling. These data were analyzed and coded using the three step process, i.e. open coding, axial coding and selective coding. The categories created during coding were integrated to generate Vroom’s expectancy theory of motivation.FindingsThe findings indicate that Vroom’s expectancy theory of motivation can be used to explain motivation of young consumers to use AI tools as an aid in taking shopping decisions. The motivation may be intrinsic motivation, extrinsic motivation or force choice motivation. Expectancy represents the ease of using the tools, instrumentality represents competence of tools in performing desired tasks while valence represents satisfaction, rewarding experience and trust in using of tools.Research limitations/implicationsThe findings of the study are based on grounded theory approach which is an inductive approach. Alternate research methodologies, both inductive and deductive, need to be employed to strengthen the external validity and generalize the results. The study is limited to shopping motives of young consumers in India. A comparison with other consumer motivational studies has not been done. Hence no claim is made regarding the advantage of Vroom’s theory over other motivational theories.Practical implicationsThe study has strong implications for retailers in developing countries which are seen as an emerging market for retail and have introduced AI tools in recent years. The Vroom’s expectancy theory will help retailers to understand consumer motivation in using AI tools or shopping.Originality/valueVroom’s expectancy theory to understand consumer motivation to use AI tools in shopping was generated using the grounded theory approach.


Author(s):  
Esthika Ariany Maisa ◽  
Yulastri Arif ◽  
Wawan Wahyudi

Purpose: To explore the nurses’ positive deviance behaviors as an effort to provide solutions in preventing and controlling infections in the hospital. Method: This is a qualitative research using grounded theory approach. Thirteen nurses from Dr.M.Djamil hospital were selected based on theoretical sampling in order to develop theory as it appears. Nurses were interviewed from June to September 2014. Interviews were thematically analyzed using techniques of grounded theory to then generate a theory from themes formed. Findings: The modes of positive deviance behavior identified were practicing hand hygiene beyond the standards (bringing handsanitizer from home), applying nursing art in wound care practice, placing patients with MRSA infections at the corner side, giving a red mark on a MRSA patient’s bed for easy identification by nurses, changing clothes and shoes in hospital, reducing hooks on the wall, and cleaning the ward on scheduled days. Conclusion: The study shows that nurses have a number of positive deviance behaviors to prevent infection transmission in the wards. It is sugested that the hospital management and nursing managers adopt some of the uncommon solution highlighted by the nurses to solve the HAIs problems in the hospital.


2019 ◽  
Vol 118 (8) ◽  
pp. 266-274
Author(s):  
Byung- MoonSeol ◽  
Young-Lag KIM

Background/Objectives: This paper investigated and analyzed the phenomena in implementing the curriculum and characteristics of an entrepreneurship education model existing technology-driven agri-food industry. Methods/Statistical analysis: The line-by-line coding method of grounded theory approach by Strauss & Corbin was applied for this study and the collected data was analyzed with the NVIVO 12 program from QSR which is a tool for analyzing quality comparative analysis for better efficiency in open coding.


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