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In a context where the sharing economy (SE) plays an important role in the transformation of today’s business landscape, profoundly changing the behavior of consumers and many established companies, some companies have begun to adapt to SE by incorporating its value propositions into their business models. Therefore, the purpose of this paper is to study the role of consumer innovativeness, brand levels and the need for uniqueness on the way to attitudes and intentions to participate in SE.

This study collected the data through an online user survey, achieving a total sample of 717. The data were first analyzed using structural equation modeling and then combined with the use of the PROCESS macro.

The findings provide empirical evidence of the antecedents of consumer innovativeness in a SE context and its role in explaining consumer attitudes and intentions to participate in non-ownership consumption. Furthermore, they also demonstrate that brand tiers and the need for uniqueness moderate the relationship between intentions and participation.

The results of this study contribute to the theoretical development of the SE by presenting the first conceptual model that considers including the brand tiers effect and connects it to two leading theories on consumer behavior (diffusion of innovations theory and uniqueness theory). In addition, the study’s findings provide valuable insights for sharing platforms and traditional companies that choose to participate in the collaborative economy.

The aim of this research is to determine the price fairness of the social servicescape and the effect of price fairness on customer trust. In this context, first of all, the effect of the social servicescape on price fairness and then the effect of price fairness on customer trust were tested.

The universe of the research consists of people who visit Starbucks coffee stores. In the study, data were collected from 338 people who visited Starbucks coffee stores. The relationships between the variables were analyzed using the Structural Equation Modeling (SEM) Technique.

As a result of the research, it was concluded that employees, other customers and social crowds, which are from the dimensions of the social servicescape, do not have a significant effect on price fairness, the interaction between employee and customer, which is from the sub-dimensions of the social servicescape, has an effect on customers' perception of price fairness, and price fairness also has an effect on customer trust.

The important point in this research is to determine the effect of the social servicescape on price fairness, which has not been studied in the literature before. Although the effect of physical servicescape on price justice has been investigated, the effect of social servicescape on price justice has not been investigated. When evaluated from this point of view, it is thought that the research will have an important contribution to the literature.

This study aims to investigate the possible defects and their root causes in a soft-termination multilayered ceramic capacitor (MLCC) when subjected to a thermal reflow process.

Specimens of the capacitor assembly were subjected to JEDEC level 1 preconditioning (85 °C/85%RH/168 h) with 5× reflow at 270°C peak temperature. Then, they were inspected using a 2 µm scanning electron microscope to investigate the evidence of defects. The reliability test was also numerically simulated and analyzed using the extended finite element method implemented in ABAQUS.

Excellent agreements were observed between the SEM inspections and the simulation results. The findings showed evidence of discontinuities along the Cu and the Cu-epoxy layers and interfacial delamination crack at the Cu/Cu-epoxy interface. The possible root causes are thermal mismatch between the Cu and Cu-epoxy layers, moisture contamination and weak Cu/Cu-epoxy interface. The maximum crack length observed in the experimentally reflowed capacitor was measured as 75 µm, a 2.59% difference compared to the numerical prediction of 77.2 µm.

This work's contribution is expected to reduce the additional manufacturing cost and lead time in investigating reliability issues in MLCCs.

Despite the significant number of works on the reliability assessment of surface mount capacitors, work on crack growth in soft-termination MLCC is limited. Also, the combined experimental and numerical investigation of reflow-induced reliability issues in soft-termination MLCC is limited. These cited gaps are the novelties of this study.

When an audience mentally counterargues a spokesperson, the message is backfiring. In such cases, audience members are practically persuading themselves to take the opposite position advocated by the spokesperson. Yet spokespeople who are professional persuaders serving corporations often seem to instill counterargument. This paper examines the role of counterargument as the conduit through which a spokesperson's different message types affect a company during a crisis. The authors explore the paradox of spokespeople's (in)effectiveness by testing divides in research drawn from normative crisis communication theory, narrative persuasion theory and the theory of reporting bias.

Two controlled, randomized experiments are reported. Participants (total N = 828) watch video clips of media interviews of a company spokesperson fielding questions about a scandal.

In the first study, non-narrative information most effectively bolsters purchase intentions and reduces negative word-of-mouth. The effect is mediated by decreased counterargument. The second study replicates the results concerning on-topic narratives compared with spinning, while on-topic narratives and non-narratives perform equally well.

This study addresses conflicts between two distinct traditions of theory as well as between normative crisis communication and its frequent practice. Reducing counterargument matters in the context of non-narrative persuasion, and non-narratives can perform at least as well as narratives in crisis communication.

Large-scale industrialization, growth and development have come at the cost of severe environmental degradation, primarily measured in terms of carbon dioxide emissions. Apart from the several measures taken to reduce enviornmental degradation, provision of private capital is a necessity apart from the public capital. There is a debate on impact of carbon dioxide emissions with increase in affluence, technology, population and renewable energy. The purpose of the study is to look into the role of private equity investment on renewable energy and technological patents.

The study extends the use of stochastic impact by regression on population, affluence and technology model to include another factor for investments and capital, i.e. private equity along with renewable energy, population, technology and GDP growth on carbon emissions for the BRICS countries. The time period for the study is from 2002 to 2021, and the relationship between the variables has been tested using pooled mean group/autoregressive distributed lag, fully modified ordinary least squares and panel quantile regression.

First, the results depict a log-run relationship between the variables across the panel using cointegration. Private equity investments do not have a significant impact on carbon emissions. The study proposes important policy implications. There are two schools of thought on the impact of private equity on carbon emissions. For example, inherently private equity investments come with higher stakes and a shorter holding period because of which their primary focus remains on having higher returns instead of responsible investing. However, as private equity adds up to capital, which leads to an increase in productivity and eventually higher economic growth, this could affect carbon emissions. This study supports the first thought. Additionally, renewable energy also affects carbon emissions positively. The policymakers should look into the role and intent of the private equity investors in green investments and invest in technologies and patents that can lead to energy consumption.

The paper is the first of its kind, to the best of the authors’ knowledge, to look into the impact of private equity on renewable energy and technological patents.

This study aims to assess the usability of augmented reality (AR) based mobile app for excavation and earthmoving processes using a novel tool entitled Excavator Augmented Reality (EAR).

A mixed-methods research approach was used through conducting experimentation to collect qualitative and quantitative data collected from the Sri Lankan construction sector. EAR app was used for experimentation in outdoor areas examining how a 360° tracked hydraulic excavator can be navigated in different physical environments similar to the real prospected job.

The findings reveal that EAR could make a considerable impact on enhancing productivity, safety and training processes. However, the developed EAR App subjected to assessment demonstrated the highest satisfaction gap for the auditory aspects. Among the remaining criterion, the satisfaction met user expectations for comfortability and no-risk practice. An analysis of strengths, weaknesses, opportunities and threats (SWOT analysis) conducted revealed that visualising the excavator activities and the requirements of improved features were the highest agreed strengths and weaknesses of the EAR. Among the opportunities for improvement, the necessity of improving emergency and safety reached the highest agreement. Moreover, the study presented the challenges in introducing mobile augmented reality (MAR) to the construction sector under the political, economic, sociocultural, technological, environmental and legal (PESTEL) model along with solutions to be taken.

This study provides a novel approach to addressing the safety, productivity and training concerns in heavy mobile plants and machinery on construction sites which remains to be unexplored to this end.

Few studies have explained how and when consumers are willing to engage in online brand-related activities (COBRAs). This study examines the role of brand love in a consumer’s decision to engage in online brand-related activities, considering the mediating effect of attitudinal brand engagement and the moderating effect of brand value on this relationship.

The study analysed data from 404 Spanish consumers using structural equation modelling and the PROCESS package in SPSS to test hypotheses, including mediation and moderation effects.

The study expands on previous research by revealing the mediating role of brand attitudinal engagement in the relationship between brand love and COBRAs and the moderating role of brand value in the relationship between brand engagement and COBRAs. The results show that online consumers who feel brand love from an online store are likelier to be engaged with the brand. This predisposes them to comment on, share, and create content related to the company or brand. Furthermore, consumers who attribute a high value to the brand are likelier to engage in brand-related online activities.

This study offers valuable insights into mechanisms to encourage consumers to generate content, known as user-generated content, to the extent that the tools for developing this content are the same.

至今, 很少研究嘗試去探討消費者為何或於何時會樂意去參與與品牌相關的在線活動。本研究擬探討品牌摯愛對消費者會否決定參與與品牌相關的在線活動所扮演的角色; 研究方法是透過分析態度品牌參與的中介效應和品牌價值在上述品牌摯愛與參與在線活動之間的關聯上所起的調節效果,以求達至研究目的。

研究人員收集來自404名西班牙消費者的數據,並以結構方程模型和SPSS裏的模組PROCESS,去檢測有關的假設,包括就中介效應和調節效果的假設。

研究揭示了態度品牌參與在品牌摯愛與COBRAs 之間的關聯上所扮演的中介角色,研究亦揭示了品牌價值在品牌參與與COBRAs之間的關聯上所扮演的調節角色; 就此而言, 本研究拓展了從前學者探討有關的領域。再者,研究結果顯示,如果消費者從網上商店產生品牌愛慕的話,他們會投入這個品牌; 這使他們更有可能去評價有關的公司和品牌,以及去分享和創建關於公司和品牌的內容; 而且,若消費者視品牌本身擁有高度價值的話,他們會更易於參與與品牌相關的在線活動。

本研究提供了寶貴的啟示,使我們更了解驅使消費者去創造內容 (即用戶生成內容) 的機制,以至生成這些內容的工具均儘相同的地步。

Role congruity theory and gender stereotypes research suggests men are expected to engage in agentic behavior and women in communal behavior as leaders, and that role violation results in backlash. However, extant gender and leadership research does not directly measure expectations–behavior incongruence. Further, researchers have only considered one condition of role incongruence – display of counter-role behavior – and have not considered the outcomes of failing to exhibit role-congruent behavior. Additionally, few studies have examined outcomes for male leaders who violate gender role prescriptions. The present study aims to address these shortcomings by conducting a novel empirical test of role congruity theory.

This experimental study used polynomial regression to assess how followers evaluated leaders under conditions of incongruence between follower expectations for men and women leaders’ behavior and leaders’ actual behavior (i.e. exceeded and unmet expectations). Respondents read a fictional scenario describing a new male or female supervisor, rated their expectations for the leader’s agentic and communal behavior, read manipulated vignettes describing the leader’s subsequent behavior, rated their perceptions of these behaviors, and evaluated the leader.

Followers expected higher levels of communal behavior from the female than the male supervisor, but no differences were found in expectations for agentic behavior. Regardless of whether expectations were exceeded or unmet, supervisor gender did not moderate the effects of agentic or communal behavior expectations–perceptions incongruence on leader evaluations in polynomial regression analyses (i.e. male and female supervisors were not evaluated differently when displaying counter-role behavior or failing to display role-congruent behavior).

In addition to providing a novel, direct test of role congruity theory, the study highlighted a double standard in gender role-congruent behavior expectations of men and women leaders. Results failed to support role congruity theory, which has implications for the future of theory in this domain.

Extending the elaboration likelihood model (ELM), this study investigates the impact of social media influencers (SMI) on consumer well-being (CW) as well as the influence of CW on purchase intention.

A between-subjects experiment (macro- vs mega-influencer) was conducted to assess the proposed hypotheses. A total of 190 consumers participated in the experiment, and SmartPLS 3.3 was used for multigroup analyses.

Overall, argument quality (AQ), source's credibility (SC) and influencer's kindness positively predict CW, and CW predicts purchase intention. It was also found that SC is more important when information comes from a mega-influencer, whilst kindness is essential for a macro-influencer.

The results of this study imply that CW should be an essential component of influencer marketing strategy. Marketing managers should hire credible and kind influencers who can produce quality arguments. Additionally, the selection of SMI (macro- vs mega-influencer) should be aligned with the marketing objective and type of persuasion required.

This is one of the early attempts to extend ELM by introducing influencer kindness as a peripheral cue. Moreover, the study offers novelty by examining the effects of influencer characteristics (AQ, SC and kindness) on CW and comparing these effects across macro- and mega-influencers.

藉著擴展詳儘可能性模型, 本研究擬探討網絡紅人對消費者福祉的影響, 以及消費者福祉對購買意圖的影響。

研究人員進行被試間實驗 (中網紅對大型網紅) , 以對提出的假設進行評價。190名消費者參與實驗, 研究人員使用SmartPLS 3.3 進行多群組分析。

總的來說, 論點品質、來源可信度和網紅的仁慈體貼, 均能積極預測消費者福祉, 而消費者福祉亦可預測購買意圖。研究人員亦發現, 若資訊是來自大型網紅的話, 來源可信度則更形重要, 而對中網紅來說, 仁慈體貼則是不可或缺的。

研究結果暗示, 消費者福祉應是網紅市場營銷戰略的基本要素。市場經理應僱用可靠、仁慈體貼、並能提出優質論點的網紅。而且, 網絡紅人 (中網紅對大型網紅) 的挑選, 必須與營銷目標和說服的種類互相協調。

本研究為早期的嘗試, 利用引進網絡紅人的仁慈體貼作為周邊線索, 來擴展詳儘可能性模型。另外, 本研究探討網絡紅人的特徵 (論點品質、來源可信度和仁慈體貼) 會如何影響消費者福祉; 研究人員亦跨中網紅和大型網紅, 對這些影響進行比較, 就此而言, 本研究提供了創新的研究意念。

In this study, the authors sought to investigate how the implicit social ties of both project owners and potential backers are associated with crowdfunding project success.

Drawing on social ties theory and factors that affect crowdfunding success, in this research, the authors developed a model to study how project owners' and potential backers' implicit social ties are associated with crowdfunding projects' degrees of success. The proposed model was empirically tested with crowdfunding data collected from Kickstarter and social media data collected from Twitter. The authors performed the test using an ordinary least squares (OLS) regression model with fixed effects.

The authors found that project owners' implicit social ties (specifically, their social media activities, degree centrality and betweenness centrality) are significantly and positively associated with crowdfunding projects' degrees of success. Meanwhile, potential project backers' implicit social ties (their social media activities and degree centrality) are negatively associated with crowdfunding projects' degrees of success. The authors also found that project size moderates the effects of project owners' social media activities on projects' degrees of success.

This work contributes to the literature on crowdfunding by investigating how the implicit social ties of both potential backers and project owners on social media are associated with crowdfunding project success. This study extends the previous research on social ties' roles in explaining crowdfunding project success by including implicit social ties, while the literature explored only explicit social ties.