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This study aims to investigate the mediating role of attachment to social media influencer between authenticity and enjoyment and then travel intention while watching social media influencer video.

This study used the survey approach to collect responses from respondents who have watched the social media influencer video. Partial least squares structural equation modeling technique was applied for the data analysis.

The results indicated that authenticities positively impact tourist attachment to social media influencer, enjoyment and hence visit intention. Attachment to social media influencer mediates the relationships between authenticities and enjoyment.

This study proposes and examines the role of attachment to social media influencers as a mediator between authenticities and tourist responses, which provided meaningful theoretical and practical insights for the future research on social media influencers.

本研究旨在调查网络红人依赖在真实性和享受之间的中介作用, 以及在观看网络红人视频时的旅行意愿。

本研究采用问卷调查方法, 收集观看网络红人视频的受访者的回答, 使用PLS结构方程模型技术进行数据分析。

结果表明, 真实性对游客对网络红人的依赖、享受和参观意愿具有积极影响。网络红人依赖在真实性和享受之间起到中介作用。

本研究提出并检验了网络红人依赖作为真实性和游客反应之间的中介角色, 为未来关于网络红人的研究提供了有意义的理论和实践基础。

The motivation to participate in crowdsourcing (CS) platforms is an emerging challenge. Although researchers and practitioners have focused on crowd motivation in the past, the results obtained through such practices have not been satisfactory. Researchers have left unexplored research areas related to CS pillars, such as the evolution of the crowd’s primary motivations, seekers applying effective policies and incentives, platform design challenges and addressing task complexity using the synchronicity of the crowd. Researchers are now more inclined to address these issues by focusing on sustaining the crowd’s motivation; however, sustaining the crowd’s motivation has many challenges.

To fill this gap, this study conducted a systematic literature review (SLR) to investigate and map the challenges and factors affecting sustained motivation during CS with the overcoming implications. Studies that satisfied the inclusion criteria were published between 2010 and 2021.

Important sustainable factors are extracted using the grounded theory that has sustained participation and the factors' cohesion leads to the identification of challenges that the pillars of CS face. Crowds being the most vital part of CS contests face the challenge of engagement. The results reported the factors that affect the crowd’s primary and post-intentions, perceived value of incentives and social and communal interaction. Seekers face the challenge of knowledge and understanding; the results identify the reason behind the crowd’s demotivation and the impact of theories and factors on the crowd's psychological needs which helped in sustaining participation. Similarly, the platforms face the challenge of being successful and demanding, the results identify the latest technologies, designs and features that seekers proclaim and need the platforms designer's attention. The identified task challenges are completion and achievement; the authors have identified the impact of trait of task and solving mechanisms that have sustained participation.

The study identifies, explores and summarizes the challenges on CS pillars researchers are facing now to sustain contributions by keeping participants motivated during online campaigns. Similarly, the study highlights the implication to overcome the challenges by identifying and prioritizing the areas concerning sustainability through the adoption of innovative methods or policies that can guarantee sustained participation.

Many companies strengthen their interaction with consumers by establishing online communities and bring convenience to value co-creation with consumers. Some companies use economic and social strategies to stimulate consumer value creation. However, the way to increase the effectiveness of such corporate strategies remains unclear. To address this challenge, this study investigates the impact patterns of economic and social strategies that influence consumers' value co-creation behaviour in firm-hosted online communities (FOCs). Moreover, the effective conditions for the value co-creation of the two strategies are explored.

Data from an FOC were collected for electronic communications products. A total of 1,305 second-hand data records on value co-creation activities were obtained. Then, an econometric model was built and Stata14.0 software was used for data analysis.

The effect of economic interaction strategy on the value co-creation in online communities is an inverted U-shaped model, and that of social interaction strategy is relatively stable and is not an inverted U-shaped model. Value creation initiatives introduced by enterprise personnel adopt economic strategies to improve effectiveness. On the contrary, value co-creation activities initiated by consumers use social strategies for the same purpose. Economic strategies are effective for large teams, whereas social strategies may lead to a “free rider” mentality.

This study finds two important factors affecting the value co-creation in FOCs and their effective boundaries. However, other factors may also affect the online community value co-creation. Future research can further explore the intrinsic mechanisms of these strategies for value co-creation.

This article mainly discusses the influence of stimulation strategies on the value co-creation in an actual company community and exhibits good practical significance for the value co-creation activity and management in online communities. Firstly, corporate strategy is effective in communities, but this strategy requires proper control. Secondly, the company strategy must consider appropriate application conditions.

This study deepens the understanding of the impact of economic and social strategies on the value co-creation in FOCs and the effective boundaries of these impact patterns.

Crowd logistics is a rising phenomenon in last-mile delivery that integrates technological applications and sources a large number of participants to do logistical activities, achieving sustainable shipping in urban environments. However, up until now, there has been limited literature in this field. This research aims to investigate the extrinsic and intrinsic factors that impact the participative behaviour of driver-partners in crowd logistics.

An integrated model is developed based on motivation theory, incorporating attitude as a contributor to both extrinsic and intrinsic motivations. A questionnaire was constructed and distributed to collect data from 303 respondents who are existing or potential driver-partners in Vietnam.

Our findings confirm (1) the influence of monetary rewards on extrinsic motivation and (2) the power of self-efficacy, trust and sense of belonging on intrinsic motivation. Further, we find that attitude positively impacts extrinsic motivation, whereas there is no effect between attitude and intrinsic motivation. Both extrinsic and intrinsic motivations are demonstrated to significantly influence driver-partners' participative intentions. Additionally, a positive association is found between extrinsic and intrinsic motivations.

Findings from this study theoretically enrich the literature on crowd logistics, especially on the supply side, and empirically contribute to implications that are valuable to crowd logistics firms on driver-partner recruitment and business strategy development.

The purpose of this study is to examine and interpret the findings from different sources on the corporate decisions during COVID-19.

The COVID-19 is a new phenomenon; grounded theory research approach is adopted to develop propositions on prospect theory and strategic decisions. The paper examines and interprets the findings from different sources on the corporate decisions during COVID-19.

Conventionally, it is believed that innovation brings risks, and individuals preferred certainty over uncertainty, even if the gains under uncertainty were twice as high. But, the results of the study indicate a divergent trend. Under threat perceptions of risks, companies explore significant opportunities and possibilities for organizational growth.

The study provides a framework to analyze the strategic decisions of corporate enterprises. The decisions replicate value function as concave in a gain situation and convex in a loss realm in times of pandemic crises.

This paper uses “actions taken” by enterprises offering various solutions in the testing times. The study is multidisciplinary in nature; it analyses the transformation strategic decisions in the context of economic and social dimensions for surviving the pandemic crises. The study provides a foundation for future research, as inferences are based on select examples.

The paper explores the main drivers of the regional-level digital divide in Ecuadorian cities and the extent to which the information and communication technology (ICT) adoption by citizens influences local-level policymakers' decisions to develop eGovernment services.

The paper used an exploratory approach. The authors empirically assessed the provision of eGovernment services in each of the 36 Ecuadorian local governments following the Local Online Service Index (LOSI) measurement scale proposed by the United Nations, and then evaluated the drivers of the eGovernment divide at a local level. Ordinary least squares regression analysis was used.

The findings indicate that the digital divide is driven by income and education disparities, and that eGovernment availability is driven by ICT use. It appears that proper attention to technology use by its citizens is not being given by local-level policymakers in Ecuador when they devise their eGovernment strategy.

Because the data were available at different levels of aggregation, there may be some inaccuracy of the indicators and lack of generalizability. Researchers are encouraged to test this hypotheses with data at lower levels of aggregation and from different latitudes to provide a comparative view between countries.

The paper includes implications for policymakers and local authorities regarding how the limitations on eGovernment development may be mitigated.

This study fulfils the need to assess digital development and its impact on eGovernment services at a city level in a developing country.

The purpose of this paper is to investigate the effects of individuals’ perceived enjoyment and output quality on their intention to play human computation games (HCGs) for location-based content sharing.

This study employed a cross-sectional survey method, and recruited 205 undergraduate and graduate students from a local university. Participants played the developed mobile HCG for content sharing named Seek, PLAy, SHare (SPLASH), and thereafter completed a questionnaire that measured their perceptions of enjoyment, output quality, and intention to play.

Results indicated that individuals derived enjoyment from the affective and cognitive dimensions, which further influenced their intention to play HCGs. Moreover, perceived output relevancy was significant in predicting individuals’ intention to play HCGs such as SPLASH.

The design of HCG is complicated due to their entertainment-output generation duality. Understanding what factors contribute to HCG usage is therefore, an essential area of study. Based on the study’s findings, designers should pay attention to HCG features that engender affective and cognitive experiences, and appropriately signify the relevancy aspect of HCG outputs.

Although similar in many ways, HCGs differ from entertainment-oriented games by generating output as byproducts of gameplay. Hence, results obtained from prior research in games may not be readily applicable to the HCG context, and further investigations are necessary. Moreover, the multidimensional aspect of HCG enjoyment and output quality, and how these dimensions influence usage intention has yet to be examined. The outcomes of this study can be exploited to drive further research in the field of HCGs, and similar games that are not just for pure entertainment.

This study aimed to examine the impact of social influence and personal attitudes on users’ continuance intention. Based on social influence theory, this study developed a theoretical model to explore what factors can influence users’ social network sites continuance intention.

To validate the research model, the authors used an online survey instrument to gather data. Hypotheses were tested using partial least squares modeling.

Using a data set including 229 WeChat users in China, the authors found that the influence of subjective norms and group norms on continuance intention is insignificant. Moreover, social identity and personal attitudes were proved to be significant predictors of continuance intention. Specifically, gender played a moderating role in the relationship between social identity and continuance intention. In addition, gender moderated the effect of personal attitudes on continuance intention as well.

This study provided insights into how social influence affects users’ continuance intention. Moreover, this study concentrated on the different impact of social influence and personal attitudes on users’ continuance intention. Specifically, the authors explored gender differences in users’ continuance intention. The results extend the knowledge about the differences of males versus females in using social network sits.

The purpose of this paper is to explore consumers’ intention to purchase genetically modified (GM) food from the perspective of risk information.

A conceptual model was proposed in which intention to purchase GM food is stimulated by the combination and complex effects of knowledge, risk perception, information need, information seeking and attitude. A face-to-face questionnaire survey was conducted in Jinan, Shandong Province. A total of 757 valid samples (55.6 percent of women vs men) were involved to conduct structural equation model analysis.

Results demonstrated that attitude is the most important predictor of intention to purchase GM food. Attitude, in turn, is predicted by risk perception and information seeking. Risk perception is a significant determinant of information need and information seeking. Moreover, information need influences information seeking. Finally, knowledge plays a critical role in risk perception and intention. Overall, the explained variance of the model is 66 percent.

The study provides new insights explaining intention to purchase GM food by constructing a conceptual model from the perspective of risk information. In this model, knowledge, risk perception, information need and information seeking are all based on information related to GM food, resulting in attitude and intention to purchase.

The purpose of this paper is to present a new concept – task affordance in crowdsourcing context, and build it as a theoretical lens to help the authors reconfigure the artifacts and process in task-oriented crowdsourcing projects. The paper differs from previous studies by focusing on the relationships between the task artifacts, systems and goal-directed actors in crowdsourcing process rather than on the pure examination of task properties.

An operational definition of task affordance was proposed and a pseudo-entity-relationship model based approach was employed to portrait the task affordance in online crowdsourcing context. Furthermore, the authors developed a typology of task affordance and decomposed the concept into five dimensions, namely, design affordance, presentation affordance, assignment affordance, task-platform fit affordance, and task-worker fit affordance. A preliminary analysis of task affordances across various crowdsourcing categories was also conducted to validate the proposed typological framework.

The findings show that the task affordances have varying degree and extend among the diverse crowdsourcing categories. For instance, task design affordances seem to be low in the crowd processing and crowd rating cases compared with that in the crowd solving and crowd creation cases. For another example, in terms of the task presentation affordance, crowd rating cases need the lowest affordance while the crowd creation cases need the highest affordance. Therefore, the authors would like to emphasize that the successful adoption, implementation, and design of the task-oriented crowdsourcing owes to the careful examination of the relationships among the actors, artifacts, and environment of the crowdsourcing projects.

To the authors’ best knowledge, this paper is the first study on conceptualizing the task affordance in online crowdsourcing context. The study contributes to the academic literature on a comprehensive overview of task-related studies in crowdsourcing, which are scattered in several information related fields. Furthermore, this research contributes directly to the area of information science and technology due to a common interest in studying the environments and contexts in which people, information and technology interact and interplay. Practically, this study may yield some implications for the requester and platform operator when designing the relevant tasks or developing the specific crowdsourcing platform.