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This monograph seeks to summarise the key influences of a role‐based perspective on leadership when making decisions as to how organisational resources can best be deployed.

Application of new frameworks provides insight into the leadership roles executives can adopt when part of formal, informal and temporary groups within the organisation's senior management team and those parts of the organisation for which they are responsible. The methodology adopted is qualitative, focusing on application of previously developed frameworks.

Adoption of an appropriate leadership role, and the timely switch from one role to another as circumstances change, are found to facilitate improvement in the ability of executives to mobilise organisational resources, and in so doing effectively address those challenges with which the organisation is faced.

A one‐organisation intensive case study of a multinational engineering company engaged in the design, development and manufacture of rotating turbomachinery provides the platform for the research. The research intent is to validate two frameworks in a different organisation of a similar demographic profile to those in which the frameworks were developed. The frameworks will require validating in organisations of different demographic profiles.

The concepts advanced, and implications discussed, provide an insight into the role‐based nature of leadership. The practical steps individual executives can take to develop their ability to adopt different leadership roles are highlighted.

This monograph is an investigation into, and study of the contribution of theory that provides insight into, the process by which executives effectively mobilise organisational resources. This differs from the original contributions to theory, which focused on methodology, data gathering and validation in contrast with the current study that is focused on practical application.

The purpose of this paper is to apply an extended technology acceptance model to examine the medical data analyst’s intention to use medical big data processing technique.

Questionnaire survey method was used to collect data from 293 medical data analysts and analyzed with the assistance of structural equation modeling.

The results indicate that the perceived usefulness, social influence and attitude are important to the intention to use medical big data processing technique, and the direct effect of perceived usefulness on intention to use is greater than social influence and attitude. The perceived usefulness is influenced by perceived ease of use. Attitude is influenced by perceived usefulness, and attitude acts as a mediator between perceived usefulness and usage intention. Unexpectedly, attitude is not influenced by perceived ease of use and social influence.

This research examines the medical data analyst’s intention to use medical big data processing technique and provides several implications for using medical big data processing technique.

Building upon studies of social psychology and information system literature, this study aims to propose and empirically test a research model that incorporates interpersonal motives (sociability and status) and hedonic motive (perceived enjoyment), and the three processes of social influence: compliance, identification and internalisation, to explain one's intention to use social network (SN) web sites.

The data were obtained from an online survey of 274 SN web site users. Structural equation modelling analysis was used to validate the proposed model.

The results indicate that social influence affects intention directly through the compliance process. Social influence, when exerted through the identification and internalization processes, affects intention indirectly via the two interpersonal motives (sociability and status) and perceived enjoyment. The two interpersonal motives affect intention indirectly via perceived enjoyment.

This study advances theory by examining how the social influence processes affect one's behavioural intention via the interpersonal and hedonic motives.

These findings help online SNs to devise strategies to attract and retain users.

This study provides evidence that social influence processes are also operative in one's adoption of information technology in non‐work settings. It also shows that people have two interpersonal motives in mind when they develop an online relationship with others.

This study aims to uncover how heuristic information cues (HIC) and systematic information cues (SIC) of online reviews influence review helpfulness and examine a moderating role of social influence in the process of assessing review helpfulness. In particular, this study conceptualizes a theoretical framework based on dual-process and social influence theory (SIT) and empirically tests the proposed hypotheses by analyzing a broad set of actual customer review data.

For 4,177,377 online reviews posted on Yelp.com from 2004 to 2018, this study used data mining and text analysis to extract independent variables. Zero-inflated negative binomial regression analysis was conducted to test the hypothesized model.

The present study demonstrates that both HIC and SIC have a significant relationship with review helpfulness. Normative social influence cue (NSIC) strengthened the relationship between HIC and review helpfulness. However, the moderating effect of NSIC was not valid in the relationship between SIC and review helpfulness.

This study contributes to the extant research on review helpfulness by providing a conceptual framework underpinned by dual-process theory and SIT. The study not only identifies determinants of review helpfulness but also reveals how social influences can impact individuals’ judgment on review helpfulness. By offering a state-of-the-art analysis with a vast amount of online reviews, this study contributes to the methodological improvement of further empirical research.

本论文旨在揭示网络评论的启发性信息源和系统性信息源对于评论有用性的影响, 以及检验社会影响在评论有用性的调节作用。其中, 本论文基于双重历程理论和社会影响理论来构建理论模型, 并且利用实际数据来验证假设, 通过分析一系列实际客户评论数据。

本论文样本数据为2004年至2018年Yelp.com上面的4,177,377网络评论。本论文采用数据挖掘和文本分析的方法来提取自变量。本论文采用零膨胀负二项回归模型来验证假设。

研究结果表明, 启发性和系统性信息源都对网络评论有用性有着显著作用。规范性社会影响加强了启发性信息源对评论有用性的作用。然而, 规范性社会影响对系统性信息源与评论有用性的关系并未起到有效的调节作用。

本论文对现有评论有用性的文献有着补充贡献, 其采用双重历程理论和社会影响理论来构建理论模型。本论文不仅指出评论有用性的影响因素, 而且展示了社会影响如何影响个人对评论有用性的判断。本论文的样本数据庞大, 数据分析夯实, 这对于进一步的实际测量研究有着方法改进方面的贡献。

The purpose of this paper is to propose an approach to generate recommendations for groups on the basis of social factors extracted from a social network. Group recommendation techniques traditionally assumed users were independent individuals, ignoring the effects of social interaction and relationships among users. In this work the authors analyse the social factors available in social networks in the light of sociological theories which endorse individuals’ susceptibility to influence within a group.

The approach proposed is based on the creation of a group model in two stages: identifying the items that are representative of the majority's preferences, and analysing members’ similarity; and extracting potential influence from members’ interactions in a social network to predict a group's opinion on each item.

The promising results obtained when evaluating the approach in the movie domain suggest that individual opinions tend to be accommodated to group satisfaction, as demonstrated by the incidence of the aforementioned factors in collective behaviour, as endorsed by sociological research. Moreover the findings suggest that these factors have dissimilar impacts on group satisfaction.

The results obtained provide clues about how social influence exerted within groups could alter individuals’ opinions when a group has a common goal. There is limited research in this area exploring social influence in group recommendations; thus the originality of this perspective lies in the use of sociological theory to explain social influence in groups of users, and the flexibility of the approach to be applied in any domain. The findings could be helpful for group recommender systems developers both at research and commercial levels.

Global digital payment transactions increase continuously. Due to the inconsistencies that occurred across the research findings, past researchers have called for further investigation to verify and empirically test the mobile payment acceptance model. The purpose of this paper is to develop an integrative model that is derived from the multiple technology acceptance models (TAM)’s a theoretical framework and past literature to understand how consumers decided to adopt mobile payment. By simultaneously testing mechanisms, namely, ease of use, usefulness and risk, the current study will be able to advance scholarly knowledge of the underlying consumer’s attitude and behavior that link social influence to intention to use.

A total of 370 valid responses were collected using self-administered questionnaires distributed via online platforms, a representative for Thai consumers. An ordinary least square regression and bootstrap analyzes were conducted through PROCESS Macro to analyze the moderated serial-multiple mediation model in the consecutive inducing of social influence, perceived ease of use, perceived usefulness and perceived risk toward the consumer’s intention to use mobile payment.

Within the context of consumers evaluating a mobile payment, statistics significant were found for the hypothesized direct and indirect effects of perceived ease of use and perceived usefulness on an intention to use. The results showed that Thai consumers’ intention to use mobile payment was significantly affected by their attitudes in terms of usefulness and the less complication in using the applications. It is confirmed that social influence indirectly affects intention to use via the increase of perceived ease of use and perceived usefulness. The study also found a significant interaction between perceived risk and perceived usefulness toward intention to use.

It is recommended to service providers to continue improving the user-friendliness, navigation, integrity and furnish the system with more value-added activities within the mobile payment application. It is also essential for the company to deliver tutorials and clear and easy-to-follow instructions to customers. At the same time, the marketer should develop marketing strategies to promote the usefulness and simplicity of using the applications to the consumers. When consumers experienced the easiness and usefulness of the applications, these could overcome the resistance feeling to use due to the concern on any potential risk.

The study contributes to the existing body of knowledge on consumer usage behavior and TAM by integrating all important variables and developed a parsimony framework to explain consumers’ usage adoption on mobile payment. Moreover, the current study was the very first that proposed and tested a serial of multiple mediations of perceived ease of use and perceived usefulness, moderated by perceived risk, in the relationship between social influence and consumers’ intention to use mobile payment and discovered a moderating role of perceived risk toward the relationship between perceived usefulness and mobile payment usage intention.

The purpose of this paper is to investigate whether a focal employee’s perception of organizational support (POS) is shaped by the social context or, more specifically, by his/her coworkers’ POS. The authors further aim to identify the conditions under which coworkers’ POS may have more influence or, on the contrary, less or even no influence.

Data were obtained from questionnaires distributed among a sample of 195 employees and among their supervisors.

Coworkers’ levels of POS are positively related to the focal employee’s POS with positive consequences in terms of job satisfaction and, finally, organizational citizenship behaviors. This influence of coworkers’ POS is strengthened when the focal employee experiences low voice in the workplace.

Overall, this research contributes to organizational support theory by showing that POS may also develop based on a socially constructed process and not only on an individual-level psychological process.

Our findings have practical implications for HR policies employed by practitioners to socialize newcomers and to manage perceived support in a context of organizational change.

Building on a few recent studies suggesting that the social context may influence employees’ perceptions of organizational support, the present study is the first to show that the influence of the social context is more likely to occur under specific conditions, i.e. when employees experience low voice.

Drawing on insights from social influence theory, the MAIN model of digital media affordances and the literature on the attention economy, this study aims to investigate how social media influencers’ community and content strategy contribute to follower engagement behavior in the presence of competition.

This study used a web-scraped data set of Instagram influencers. It measured community strategy using influencers’ number of followers, number of following and breadth of interest; content strategy using modality type and number of posts; competition using number of influencers operating in the same primary domain of interest; and follower engagement behavior using number of likes and comments. A negative binomial regression model was estimated to test the proposed hypotheses.

The findings reveal that elements of influencers’ community and content strategies, such as number of followers, modality type and number of posts, influence follower engagement behavior. Similarly, competition significantly influences follower engagement behavior both independently and by interacting with influencers’ community and content strategy.

The findings offer insight for brands to identify suitable influencers for partnerships. For instance, brands can judge influencers’ suitability for partnership based on how many followers they have, how many posts they share and how many competitors they have. Further, the findings offer insight for influencers on how they can drive follower engagement behavior by managing their social media community and content.

This study develops an integrated model of factors that determine follower engagement behavior for social media influencers. The findings emphasize influencers’ strategy as the primary driver of follower engagement behavior. Extant studies focus on followers’ motivation and perception to explain follower engagement behavior while the role of influencers’ strategy is underplayed.

The purpose of this paper is to address a theoretical gap in the business process management (BPM) literature on factors that influence the acceptance and use of business process modelling (PM) in organisations. The paper seeks to contribute to theory building and practice in BPM through better understanding of important determinants of PM adoption and use.

A combination of literature review and 34 interviews in context was used to develop a PM acceptance model that was subsequently empirically tested using survey data from 74 companies.

The paper provides empirical insights about how business PM can be influenced by many factors in the organisational context. It suggests that PM is a complex activity mandated by management, but influenced by individual and socio‐political factors.

There is a need for future research to focus on the many opposing forces that influence business PM in organisations. Future studies should analyse influence from different stakeholder groups separately to reveal their relative influence on PM activity and its outcomes.

The paper identifies important forces in the organisational context that managers should focus on in their efforts to successfully implement business PM in their organisations.

This paper uses a triangulation of sources of information to better understand the less‐studied process of PM adoption and use in an organisational context. It contributes to theory building within BPM and to more successful BPM in organisations.

Whole-school approaches emphasising pupil participation are recognised as being conducive for building social capital, yet how participatory health educational processes relate to different types of social capital remains unclear. The purpose of this paper is to explore which mechanisms within a participatory health educational process influence social capital and collective actions in the school context, and to discuss children’s agency in such processes.

A multiple case study design, with the Danish “We Act – Together for Health” intervention, considered as an instrumental case regarding participatory health educational processes for children, principally since it applied the participatory Investigation–Vision–Action–Change (IVAC) methodology. The paper is based on a theory-driven, abductive research strategy. Qualitative methods, including focus group interviews with children, semi-structured interviews with teachers and school principals, and participant observation were used.

The study’s conceptual framework, which elucidates several mechanisms that interact with types of social capital and collective actions within the school setting, indicates that working with child participation through the IVAC methodology can influence types of social capital and collective actions. It also emphasises children’s limited agency in terms of affecting bridging and linking social capital, norms of reciprocity and collective actions without sufficient support mechanisms at the school and class levels.

The study provides a novel comprehensive conceptual framework identifying the specific mechanisms at different levels that influence social capital and collective actions.