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A consumer's post‐purchase product usage behaviour influences future decision making. Particularly, for fashion products, in which usage behaviour is highly observable, impacts of usage behaviour on future purchases and other consumers are more conspicuous. This study investigated usage behaviour for clothing fashion products. Behavioural aspects (use frequency and use variety) of usage behaviour were considered with psychological aspects (use satisfaction). The study focused on the differences in usage behaviour (use frequency, use variety and use satisfaction) by product types (fashionability and classification). Data was collected from a questionnaire survey. The results revealed that product types affected the post‐purchase usage behaviour of fashion products. There were significant differences in the use frequency by the product classification, in the use variety by the product fashionability and in the use satisfaction by the product classification and fashionability. Further, significant differences by product types were discussed.

The first part of this paper pointed out that theory and research on followership is less extensive and less well known than that on leadership. It then described a three factor model of leadership and suggested it could be applied to and was consistent with other work on followership. The second part of the paper presented empirical evidence supporting the three factor model of leadership and justifying its extension and application to the full range of team roles, including follower and co-worker roles, as well as leader roles. This part of the paper looks specifically at follower roles and followership. Research findings are used to develop and describe a three factor model of follower behaviour. The paper aims to discuss these issues.

A mixed group of managers, mainly from the UK public sector, completed a variety of self-assessment questionnaires, had 360 degree assessments completed on them, and provided information on their work role and situation. Research looked at the degree of correlation between variables and its statistical significance. This was used to assess the internal reliability and external validity of three factor measures of leader behaviours and team role behaviours. Information on contextual variables was used to measure leader and follower situations and develop leader-follower scales that were used to identify behaviours used by followers. In total, 360 degree assessments were also used to identify behaviours that are most and least valued when used by followers.

The findings presented in the second part of this paper provided empirical support for the three factor model of leadership and its extension to the full range of team roles. The findings presented in this part of the paper identify behaviours used by individuals in follower roles and behaviours valued when used by individuals in such roles. By combining these two sets of findings, it was possible to produce a three factor model of effective follower behaviour, with each metacategory consisting of five behaviour sets and each set made up of four specific behaviours.

Effective organisations need effective followers and effective leaders. Moreover, the skills of the effective leader develop out of and build on those of the effective follower. Effective leaders and followers use essentially the same skills but use them in different situations, playing different roles. The research was carried out on a diverse sample of managers, drawn mainly from the UK public sector. However, it would be useful to extend the research to other populations.

The findings provide evidence-based descriptions of effective follower behaviours. These have practical implications for leaders and for followers, as well those involved in their training and development. They establish the content of developmental activities for effective followers and indicate how the training and development of followers underpins that of leaders.

The findings challenge the widely held pre-occupation with leadership and the associated view that it is qualitatively different from and superior to leadership. In so doing, the three factor model of followership offers a challenge to the cult of leadership.

This is the first published research to present empirical evidence supporting the three factor model of followership. In the research process, scales were developed to assess leader and follower roles and used to identify behaviours used by followers. They were also used in further research identifying behaviours most and least valued when used by followers. The instruments and the associated research were original.

Jarring events, be they global crises such as COVID-19 or technological events such as the Cambridge Analytica data incident, have bullwhip effects on billions of people's daily lives. Such “shocks” vary in their characteristics. While some shocks cause, for example, widespread adoption of information systems (IS) as diverse as Netflix and Teams, others lead users to stop using IS, such as Facebook. To offer insights into the multifaceted ways shocks influence user behavior, this study aims to assess the status quo of shock-related literature in the IS discipline and develop a taxonomy that paves the path for future IS research on shocks.

This study conducted a literature review (N = 70) to assess the status quo of shock-related research in the IS discipline. Through a qualitative study based on users who experienced shocks (N = 39), it confirmed the findings of previous literature in an illustrative IS research context. Integrating the findings of the literature review and qualitative study, this study informs a taxonomy of shocks impacting IS use.

This study identifies different ways that shocks influence user behavior. The taxonomy reveals that IS research could profit from considering environmental, private and work shocks and shedding light on positive shocks. IS research could also benefit from examining the urgency of shocks, as there are indications that this influences how and when individuals react to a specific shock.

Findings complement previous rational explanations for user behavior by showing technology use can be influenced by shocks. This study offers a foundation for forward-looking research that connects jarring events to patterns of technology use.

The purpose of this study is to investigate important factors that help explain customer willingness to adopt mobile banking (M-banking). To this end, the unified theory of acceptance and use of technology 2 (UTAUT2) was applied and to more accurately predict customer behavioral intentions, it was attempted to extend it.

The research data were collected from 396 customers of Iranian private banks who had the experience of using M-banking. The structural equation modeling technique was used to test the research hypotheses.

Findings suggest that performance expectancy, effort expectancy, social influence, facilitating conditions, habit, hedonic motivation, perceived value and trialability are endorsed as proponents of M-banking adoption intention. On the other hand, M-banking adoption intention has also had a significant positive effect on actual use behavior and word-of-mouth (WOM). WOM has also influenced actual use behavior and mediated the relationship between M-banking adoption intention and actual use behavior.

The present study focuses on private banks, therefore, although it is sufficient, it is limited to private cases. This study contributes to the literature on M-banking services and actual use behavior. By appropriately focusing on M-banking adoption intention and the service quality provided, banks can strengthen their relationships with customers, thereby stimulating actual customer behavior such as actual use behavior and WOM.

From theoretical and managerial aspects, this study has particular value for the literature on M-services’ intention in general and banking in particular. The present study provides a conceptual framework for M-banking adoption intention, which could be used in M-banking services. In addition, this study sought to extend UTAUT2 and to examine the mediating role of WOM in actual use behavior motivation as well.

Drawing on value theory, this study aims to explore the perceived value of using energy efficiently amongst a low-income older population group. It aims to provide an empirical exploration of the concept of value-in-behaviour, and, in doing so, identify that it is a logical addition to the extant concepts of value-in-exchange and value-in-use.

Exploratory focus group research was conducted to explore older, low-income people’s perceived value towards using energy efficiently in the contexts of their everyday lives. The research was conducted in regional New South Wales, Australia, with 11 focus groups of 59 people (40 females, 19 males) aged over 60 with a personal disposable income below $26,104 per annum.

Using this framework, functional, economic and ecological value appeared to be the most pertinent value dimensions for using energy efficiently, while social or emotional value was less relevant. Attention is drawn to how value in using energy efficiently emerges within the everyday contingencies and constraints configured by individual households’ financial, social, material and cultural contexts. These findings suggest that programmes in this area and with similar target groups would benefit from trying to promote and co-create such value.

The present study provides empirical evidence that consumers in a social marketing context appear to perceive value-in-behaviour in relation to using energy efficiently. This approach inspires social marketers to foster individual behaviour change through a better understanding of how value is created in everyday practices. This builds upon existing work on value in social marketing and suggests that value is an important concept that warrants continued theoretical, empirical and practical exploration.

The purpose of this research is to evaluate the impact of theory‐based poster messages on stair‐climbing behaviour in a work environment. The highest‐rated poster developed by the Public Health Agency of Canada's stairway to health program was used as a comparison condition.

Naturalistic observation of stair traffic was conducted in order to measure the effectiveness of poster prompts on stair‐climbing behaviour. Over a period of three years, three separate studies were conducted aimed at increasing stair‐use via experimentally manipulated and theory‐based poster messages.

Results suggest that messages derived from a norm‐based framework are more persuasive than generic information‐based posters when attempting to increase stair‐climbing behaviour.

Small increases in health‐related behaviours at work have important consequences for both individuals and organizations. Using poster messages derived from social psychological theory could prove advantageous for practitioners attempting to increase healthy behaviours at work.

This research provides the first evidence for the use of norm‐based health‐related messages targeted at increasing healthy behaviours. The study makes a theoretical contribution to the creation and application of norm‐based appeals using both simple and complex message framing. Prior to this study, there was no available research on the effectiveness of such appeals on health‐related behaviour.

Reference data collection tools facilitate the collection of in‐depth data about reference interactions. Since this information may influence decisions, library managers should examine how these tools are used and assess how these data entry behaviors may impact the accuracy of the data. This paper aims to analyze reference staff perceptions and data entry behaviors using a reference data collection tool.

The two‐year mixed method study analyses reference staff perceptions and data entry behaviors related to the reference data collection tool used at the University of Colorado Boulder Libraries. The authors identified six distinct data entry behaviors for analysis in this study.

The survey results indicate that staff consider the tool to be both easy to use and useful. These findings, under the technology acceptance model, indicate technology acceptance, which influences adoption and use of the tool. Though rates of adoption and use of the tool are high, the authors' analysis of behaviors indicate that not all users record reference interactions in the same way, and this inconsistency may impact the accuracy of collected data.

Inconsistency in data entry behaviors should inform the design of staff training sessions, best practice guidelines, and the tool's interface.

If data are used to justify changes to services and collections, decision makers need to be confident that data accurately reflect activity at library service points.

Previous studies related to reference data collection mention the importance of consistent data entry practices, but no studies have explicitly evaluated how inconsistencies in use may impact the accuracy of data.

China is the world’s largest user market for digital technologies and experiencing unprecedented rates of rural-urban migration set to create the world’s first “urban billion”. This is an important context for studying nuanced adoption behaviours that define a digital divide. Large-scale studies are required to determine what behaviours exist in such populations, but can offer limited ability to draw inferences about why. The purpose of this paper is to report a large-scale study inside China that probes a nuanced “digital divide” behaviour: consumer demographics indicating ability to pay by electronic means but behaviour suggesting lack of willingness to do so, and extends current demographics to help explain this.

The authors report trans-national access to commercial “Big Data” inside China capturing the demographics and consumption of millions of consumers across a wide range of physical and digital market channels. Focusing on one urban location we combine traditional demographics with a new measure that reflecting migration: “Distance from Home”, and use data-mining techniques to develop a model that predicts use behaviour.

Use behaviour is predictable. Most use is explained by value of the transaction. “Distance from Home” is more predictive of technology use than traditional demographics.

Results suggest traditional demographics are insufficient to explain “why” use/non-use occurs and hence an insufficient basis to formulate and target government policy.

The authors understand this to be the first large-scale trans-national study of use/non-use of digital channels within China, and the first study of the impact of distance on ICT adoption.

The purpose of this article is to investigate urban and rural differences for online activities and e‐payment behavior patterns.

This study applied the MLCA model to investigate Internet usage patterns from 11 online applications among 10,909 Taiwan residents in 25 different regions.

The results showed that online behavior patterns exhibited regional differences, as the regional segments affected the individual segments of different use patterns. For instance, the urban area comprised a higher proportion of members who were accustomed to internet applications and skilled in online shopping by using a credit card. The rural area made up a higher proportion of members who only occasionally used online services. Moreover, rural region residents used other payment methods (excluding credit cards) more often than urban region residents. As expected, users’ personal characteristics also dictated the online behavior pattern. For instance, people with higher‐level income spent relatively more money for online shopping and often used various internet applications than others.

The findings herein should help Internet service providers form an applicable guideline for developing service strategies of higher service satisfaction regarding products and users’ needs.

This study implemented a multilevel latent class model to investigate online behavior patterns that exhibited urban and rural differences, with the goal of providing service providers an understanding and mastery of their target users.