Expectancy Theory of Motivation and Substance Use Treatment: Implications for Music Therapy

The existing literature indicates that motivation is an important predictor of treatment outcome for people with substance use disorders (SUD). Although researchers have found that music therapy can positively impact motivation for people with SUD, the music therapy and SUD literature base lack a theoretical understanding of motivation. Vroom’s expectancy theory of motivation (ETM) is an established theoretical framework positing that motivation depends on three relationships: expectancy, instrumentality, and valence. These relationships consist of four variables: effort, performance, reward, and preference. Based on these four variables, motivation depends on the expectation that an increase in effort will lead to improved performance, thus leading to a reward aligned with an individual’s preferences. The purpose of this paper is to apply Vroom’s ETM to music therapy and SUD clinical practice and research. We reviewed the existing literature addressing Vroom’s ETM within SUD treatment and created a model to depict how to apply Vroom’s ETM to music therapy clinical practice for people with SUD. Application of Vroom’s ETM may help music therapists understand and augment motivation for people with SUD, potentially leading to relapse prevention and recovery. Implications for clinical practice, limitations, and suggestions for future research are provided.

Indian shopper motivation to use artificial intelligence

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.

Expectancy in Urban Farming Engagement

Urban farming is seen as a sustainable practice with the social, economic and urban environment benefits. Despite the efforts by the government, there is lack of public participation in urban farming activities and challenges in sustaining urban farming participants’ interest. The study is aimed at measuring urban farming participation motivations using the Expectancy Theory of Motivation which is made up of three aspects; namely expectancy, instrumentality and valence. This paper describes the findings regarding the expectancy aspect of motivation (measured by using Expectancy theory) in urban farming activity in Malaysia.

How Perceived Incentive, Task Confidence, and Arousal Influence Performance

With expectancy theory of motivation, small relationships with performance are expected. The present study suggests that various components of expectancy theory, which are usually combined in a multiplicative or additive fashion, may have countervailing influences on performance. The opposing effects of the components could cancel each other out. A positive relationship between perceived incentive and arousal was hypothesized, while a negative relationship between task confidence and arousal was hypothesized. Arousal, in turn, is related to performance curvilinearly. 46 undergraduates were provided feedback on a practice test prior to taking a mathematics examination. After examining their incentive, confidence, and arousal, analysis supported both hypotheses.