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To understand the phenomena of people revealing regrettable information on the Internet, we examine who people think they’re addressing, and what they say, in the process of interacting with those not physically or temporally co-present.

We conduct qualitative analyses of interviews with student bloggers and observations of five years’ worth of their blog posts, drawing on linguists’ concepts of indexical ground and deictics. Based on analyses of how bloggers reference their shared indexical ground and how they use deictics, we expose bloggers’ evolving awareness of their audiences, and the relationship between this awareness and their disclosures.

Over time, writers and their regular audience, or “chorus,” reciprocally reveal personal information. However, since not all audience members reveal themselves in this venue, writers’ disclosures are available to those observers they are not aware of. Thus, their overdisclosure is tied to what we call the “n-adic” organization of online interaction. Specifically, and as can be seen in their linguistic cues, n-adic utterances are directed toward a non-unified audience whose invisibility makes the discloser unable to find out the exact number of participants or the time they enter or exit the interaction.

Attention to linguistic cues, such as deictics, is a compelling way to identify the shifting reference groups of ethnographic subjects interacting with physically or temporally distant others.

We describe the social organization of interaction with undetectable others. n-adic interactions likely also happen in other on- and offline venues in which participants are obscured but can contribute anonymously.

Platform-based enterprises, as micro-entities in the platform economy, have the potential to effectively promote the low-carbon development of both supply and demand sides in the supply chain. Therefore, this paper aims to provide a multi-criteria decision-making method in a probabilistic hesitant fuzzy environment to assist platform-type companies in selecting cooperative suppliers for carbon reduction in green supply chains.

This paper combines the advantages of probabilistic hesitant fuzzy sets (PHFS) to address uncertainty issues and proposes an improved multi-criteria decision-making method called PHFS-DNMEREC-MABAC for aiding platform-based enterprises in selecting carbon emission reduction collaboration suppliers in green supply chains. Within this decision-making method, we enhance the standardization process of both the DNMEREC and MABAC methods by directly standardizing probabilistic hesitant fuzzy elements. Additionally, a probability splitting algorithm is introduced to handle probabilistic hesitant fuzzy elements of varying lengths, mitigating information bias that traditional approaches tend to introduce when adding values based on risk preferences.

In this paper, we apply the proposed method to a case study involving the selection of carbon emission reduction collaboration suppliers for Tmall Mart and compare it with the latest existing decision-making methods. The results demonstrate the applicability of the proposed method and the effectiveness of the introduced probability splitting algorithm in avoiding information bias.

Firstly, this paper proposes a new multi-criteria decision making method for aiding platform-based enterprises in selecting carbon emission reduction collaboration suppliers in green supply chains. Secondly, in this method, we provided a new standard method to process probability hesitant fuzzy decision making information. Finally, the probability splitting algorithm was introduced to avoid information bias in the process of dealing with inconsistent lengths of probabilistic hesitant fuzzy elements.

The formation of international joint ventures (IJVs) is one of the prevalent approaches for Western companies to conduct business in China. Yet, doing business in China is difficult for many firms, partially because of the institutional voids that are created by weak formal institutions. The paper aims to focus on the role of guanxi (an informal institution and a company capability that fills such institutional void) in the formation and management of IJVs.

A systematic literature review on the role of guanxi in IJV formation and management is conducted based on papers published in top international business journals between 2005 and 2020 – in total, 47 papers are included in the review.

The findings of the study are presented in four themes, namely, the role of guanxi as social capital in IJV formation, the role of trust in guanxi-based IJVs, the role of control mechanisms in balancing high reliance on trust in guanxi-based IJVs and the role of guanxi in managing inconsistencies in the regulatory environment. The analysis also reveals that guanxi has a positive effect on the development of IJVs if control between the parent firms is well balanced; otherwise, guanxi can trigger opportunism and leads to failures.

The study unravels how guanxi leads to successful outcomes in IJV formation and management, which assist managers who operate IJVs with their decision-making.

To the best of the authors’ knowledge, no previous paper has critically analysed the literature on IJVs using a guanxi perspective at micro (personal), meso (business) and (macro) governmental levels. This approach allows for providing more nuanced view of the role of guanxi in the formation and management of IJVs and aligns more closely with managerial decision-making.

The purpose of this paper is to test for bubbles in the US hard red spring (HRS) wheat market from 2004 to 2014, with particular focus on 2007-2008 when the market experienced record-high price volatility.

The authors apply a recently developed bubble testing procedure to cash, rolling nearby futures contract, and individual futures contract prices of HRS wheat sampled at daily, weekly, and monthly frequencies. Two critical value (CV) sequences are derived to date-stamp bubbles, one from Monte Carlo simulations, and the other from recursive wild bootstrap procedure.

The authors find that regardless of the price series adopted, sampling frequency chosen, or CVs used, bubbles account for only a small fraction of the HRS wheat price behavior during 2004-2014. However, much sharper differences are detected regarding the key policy question of bubble behavior during 2007-2008. Individual futures contract prices during this period suggest only a minimal number of bubble days, while rolling nearby futures and cash prices indicate bubbles lasting much longer. Since theory suggests that prices for individual futures contracts are more likely to provide a clearer test of bubble components, the authors conclude there is little evidence that the spike in spring wheat prices to $25 per bushel in 2007-2008 was a bubble.

This paper is the first in the literature to examine the sensitivity of bubble testing to different types of data, sampling frequencies, and inference procedures.

This research focuses on exploring a psychological mechanism between abusive supervision and job engagement via job insecurity and job alternative to understand how frontline construction workers' perceived abusive supervision impacts on their work engagement.

This study draws on the conservation of resources theory (COR) to postulate that workers' job insecurity acts as a mediation between abusive supervision and work engagement, and the perception of job alternative moderates the impact of abusive supervision on job insecurity. This study empirically tests survey data from 357 frontline construction workers and adopts partial least square structural equation modeling (PLS-SEM) to test the proposed model.

This paper proved the dark-side of abusive supervision, dual character of job insecurity and moderating role of job alternative. The game-changing mediation effects of job insecurity were examined, which suggested that work engagement would be higher when abusive supervision stimulates stronger job insecurity. Furthermore, the result indicated that the relationship between abusive supervision and job insecurity should be weaker when job alternative is high.

This research suggests construction project managers (CPMs) must take steps such as enhancing supervisors' emotional management skills to control frequency of abuse and thus lessen compromising engagement. Moreover, overall understanding frontline workers' job insecurity is meaningful for better construction performance management.

This research contributes to the disputed leadership style (abusive supervision) and positive psychology knowledge (work engagement) in construction projects by unveiling the psychosocial mechanism (game-changing effects of job insecurity) of construction frontline workers positive engaged feeling. This study highlights the function of personal and job resources in process of resource conservation.

This study argues that leader humility is an important facilitator of team creativity. Based on social learning theory, the study explores a new mechanism that links humble leader behavior to team creativity through a path of team learning.

Data were collected in two private-owned technology companies located in South China. The two-time survey included 77 team leaders and 310 employees. An analysis of time-lagged, multisource data was conducted.

Evidence shows that humble leader behavior promotes team learning behavior through a social learning process, with a subsequent increase in team creativity. This influence is also strengthened when leader effectiveness is high.

Team creativity is an important determinant of organizational success. This research shows that humble leaders can motivate team creativity by acting as a role model. In addition, this research also reminds us that humble leader behavior loses its effect if the leader is incapable.

This research contributes to existing literature on humble leader behavior and team creativity, especially on the mechanisms and contingency effects between these factors.

The coal reserves overlain by buildings, water bodies and railways are estimated to be about 14 billion tons in China. Based on the concept of green mining, in order to save the unit energy, Double pumps in parallel forms of pumping are adopted in 0the paste filling of the pumping system. The optimal solution of the objective function could be obtained by taking the unit flow power of the pumping system as the objective function, using the quadratic polynomial by the least square method curve fitting and by the application of MATLAB. Thereby it is possible to reduce power consumption and increase the efficiency of the operating economy in the paste filling station.