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The purpose of this paper is to examine whether the fit between innovativeness and lean practices (LPs) can affect triple bottom line (TBL) performance. Two types of fit are tested: fit-as-mediation in which innovativeness creates TBL performance through the mediation of LPs and fit-as-moderation whereby the effects of innovativeness on TBL performance are moderated by LPs.

Structural equation modelling and moderated regression are used to test the fit-as-mediation and fit-as-moderation models using survey data collected from 241 manufacturers in China.

The results show that innovativeness is positively associated with LPs that emphasize operational excellence. Innovativeness indirectly affects all three TBL dimensions through the mediation of LPs, and LPs do not moderate the effects of innovativeness. The applicability of fit-as-mediation model suggests directing attention towards integrating innovation and LPs within same organizational units to achieve improved TBL performance.

The findings suggest manufacturers should involve employees within the same organizational unit embrace an integrated culture of innovativeness and LPs and avoid separate attention to innovativeness and LPs.

This is the first study of which the authors are aware developing and empirically testing both fit-as-mediation and fit-as-moderation models within the same study to understand how innovativeness and LPs work together to influence TBL performance. This study extends the boundaries of current understanding by examining how, when and why the innovativeness – LPs–TBL relationship arises between constructs central to our theories.

This paper aims to popularize the Bayesian methods among novice management researchers. The paper interprets the results of Bayesian method of confirmatory factor analysis (CFA), structural equation modelling (SEM), mediation and moderation analysis, with the intention that the novice researchers will apply this method in their research. The paper made an attempt in discussing various complex mathematical concepts such as Markov Chain Monte Carlo, Bayes factor, Bayesian information criterion and deviance information criterion (DIC), etc. in a lucid manner.

Data collected from 172 pharmaceutical sales representatives were used. The study will help the management researchers to perform Bayesian CFA, Bayesian SEM, Bayesian moderation analysis and Bayesian mediation analysis using SPSS AMOS software.

The interpretation of the results of Bayesian CFA, Bayesian SEM and Bayesian mediation analysis were discussed.

The management scholars are non-statisticians and are not much aware of the benefits offered by Bayesian methods. Hitherto, the management scholars use predominantly traditional SEM in validating their models empirically, and this study will give an exposure to “Bayesian statistics” that has practical advantages.

This is one paper, which discusses the following four concepts: Bayesian method of CFA, SEM, mediation and moderation analysis.

The purpose of this paper is to preliminary explain the possibly complicated moderating effects of job resources. The paper specifies the missing link between job demand and burnout by focusing on the coping strategy argument.

The paper preliminary supports the mediated moderation model of the missing link by a large sample cross‐sectional survey.

The two coping strategies as mediators for the relationship between emotional demands and exhaustion are supported. Strong supports for the moderation effect of emotional intelligence on the relationship between emotional demands and the two coping strategies are found. Some support for the moderation of supervisor support on the relationship between deep acting and exhaustion are found.

The paper contributes to the job demands‐control‐support and job demands‐resources models, as the proposed model helps to explain the inconsistent results for the buffering effect of job resources found in the literature. It also contributes to the literature of emotional intelligence, as it provides clear evidence of its importance in handling emotional demands.

Deep acting is important. An organization may take more efforts in training employees to equip them with it. Emotional intelligence is also a vital resource and so organizations may benefit if they engage in relevant selection and training practices.

Emotional intelligence, an individual ability, is empirically demonstrated to be an important type of job resources that can buffer the negative effect of job demands on employee well‐being.

This study focuses on Aaker's Brand Equity Model, to check the effect of brand equity determinants on booking intention (BI) for ridesharing in India. The study also explores the moderation of ecologically conscious consumer behavior (ECCB) on the multiplicative effect of brand awareness (BAw), brand association (BA) and perceived quality (PQ) in influencing the BI.

Responses from 393 Indian ridesharing users were collected using judgmental sampling and were analyzed using Hayes Process macro.

The study found a direct relationship between BAw and BI, BAw and BA, BAw and PQ, BA and PQ, PQ and BI, and BA and BI. Findings revealed mediation of BA in BAw and BI relationship and PQ in BAw and BI relationship. Results revealed that BA and PQ serially mediate BAw and BI relationship. ECCB moderates PQ and BI relationship but not BAw and BI relationship.

Serial mediation and moderated-mediation results draw various theoretical implications for determinants of Aaker's Brand Equity model and ECCB.

The research has several implications for managers in view of brand equity determinants and ECCB. The study also contributes to policy implications.

Study's novel contributions are mediation, serial mediation between brand equity determinants, and moderation of ECCB between BAw and BI for ridesharing.

Partial least squares structural equation modeling (PLS-SEM) has attracted much attention from both methodological and applied researchers in various disciplines – also in hospitality management research. As PLS-SEM is relatively new compared to other multivariate analysis techniques, there are still numerous open questions and uncertainties in its application. This study aims to address this important issue by offering guidance regarding its use in contexts with which researchers struggle.

The authors examine the most prominent questions and answers posed in a well-known PLS-SEM discussion forum. The authors do so by using a text analysis technique to identify the most salient topics.

The data analysis identifies three salient PLS-SEM topics (i.e. bootstrapping and significance testing, higher-order constructs and moderation).

The results allow us to address the PLS-SEM community’s main methodological issues. The authors discuss each area separately and provide explanations and guidelines.

The guidelines on the most important PLS-SEM topics provide decision-making and application aids. In this way, the authors make a decisive contribution to clarifying ambiguities when applying the PLS-SEM method in hospitality management research and other disciplines.

There has as yet been no systematic analysis of this kind in the field of PLS-SEM; the authors, therefore, present the first research results. The findings and recommendations provide guidance for PLS-SEM applications in hospitality research and practice.

Recent studies have argued that companies may actively implement practices to mitigate disruptions in their supply chain and reduce the extent of damage on performance. Other studies have shown that disruptions may propagate in supply chains, leading to consequences that are more negative and raising doubts on the effectiveness of mitigation strategies implemented downstream. This study investigates the influence of supply chain complexity on the two phenomena and their interplay, taking a focal company's perspective.

A systematic procedure for data collection, encoding and aggregation based on incident data mainly from secondary sources was used. Multiple regression models were run to analyse direct and moderation effects involving resilience, distance of impact location from trigger point, and supply chain complexity on weighted performance change.

Supply chain complexity is found to have positive moderation on the ripple effect of disruption. Resilience capability remains to have dominating direct positive effect in mitigating disruptions when supply chain complexity is taken into account.

This study extends the research discourse on supply chain resilience and disruption management with focus on the supply side. It demonstrates that, along with the severity of the disruption scenario, the ripple effect must also be considered when analyzing the benefits of resilience practices implemented by the focal company.

Complexity in the supply chain can only help to smooth-out the rippling effects of a disruption, which go largely beyond supply-demand unbalances and lead time fluctuations. To mitigate it better, the focal company has to act proactively with adequate resilience practices, which also connects to the importance of better visibility across multiple supply chain tiers.

To the best of the authors' knowledge, this is the first study that empirically tests the benefits of resilience practices and the ripple effect of disruptions under the moderation role of supply chain complexity.

The authors use signaling theory in proposing a conceptual framework that simultaneously incorporates both the mediating effects of corporate reputation (CR) and the moderating effects of marketing capability (MC) into the corporate social responsibility (CSR)–corporate financial performance (CFP) link and theorize a single moderated mediation model. The empirical results of the research confirm the theorized moderated mediation model among the four variables, where a firm’s CR plays a mediating role in the relationship between CSR and CFP, and a firm’s MC moderates the effect of CSR on CR exclusively in the first link. Both theoretical and practical implications of the moderated mediation model are discussed.

This study uses structural equation model estimations with the relevant secondary datasets collected from publicly available databases.

The empirical results confirm the theorized moderated mediation model in the conceptual framework that uses signaling theory. Specifically, the results identify the moderating role of MC in only the CSR- CR link (but not in the CR and CFP link), such that CR plays a moderated mediation role in the CSR–CFP link.

The current research is not without limitations. These limitations mainly stem from data sets used in the empirical analyses. More details are discussed in the limitations and future research directions section.

The empirical findings suggest that a firm needs to develop a consolidated CSR-marketing program, simultaneously satisfying stakeholders’ needs for both the firm’s socially desirable business practices and value-creating marketing programs to increase its CR, which will, in turn, lead to better profitability for the firm.

To the best of the authors’ knowledge, the current research is the first to use signaling theory in building a conceptual framework that theorizes a moderated mediation model regarding the simultaneous effects of CR and MC on the relationship between CSR and CFP and to empirically test this conceptual framework of the single moderated mediation model. By doing so, the current research clarifies an unanswered question in the literature of whether the underlying mechanism in the CSR–CFP link is based on a mediated moderation or moderated mediation of CR and MC.

The purpose of this paper is to explore the influence of PRINCE2 (PRoject IN Controlled Environments 2) standard on customer satisfaction jointly with vendor relationship management capability in the information technology outsourcing (ITO) context. This paper further tries to explore the above underlying mechanism by studying the mediating effect of deliverable quality.

This paper develops a mediated moderation model to explain the underlying influence processes of PRINCE2 standard, vendor relationship management capability and deliverable quality on ITO customer satisfaction. By conducting a pair-wise survey of 260 project managers in seven Iranian firms, the model and hypotheses are empirically tested with the partial least squares method.

Our results suggest that firms benefit more in terms of IT costs reduction when they have a higher level of complementary investment in an external standard, especially through an interplay effect of the external standard and internal relational aspect. Firms can make business processes more amenable to outsourcing and facilitate monitoring of vendor performance and effective coordination with vendors. More interestingly, we find that this interactive effect is fully mediated by deliverable quality, which, in turn, directly increases ITO customer satisfaction.

This study adds some new knowledge and provides new views to study ITO customer satisfaction by addressing the importance of PRINCE2 standard. This study further enhances our understanding in terms of the underlying pathway through which the PRINCE2 standard jointly affects customer satisfaction with vendor relationship management capability and deliverable quality. With the effort of explicitly explaining the complex mechanisms, this study helps ITO managers proactively escort outsourcing activities and projects.

Influencer marketing is a newer interactive marketing model that has attracted the attention of scholars and marketers. The study aimed to examine the mediation role of influencer credibility (IC) and the moderation role of self-esteem in the effects of individuals' parasocial relationships (PSR) with YouTube influencers on their product attitudes (PATs) and purchase intentions (PIs).

The researchers used an online survey to test a sequential mediation model and moderation mediation models using Hayes PROCESS modeling.

The researchers revealed a sequential mediation model that IC and PAT mediate the association between PSR and PI. Individuals who perceived IC to be low were more likely to buy an endorsed product when their self-esteem got lower. When their self-esteem is low, individuals tend to purchase the endorsed products if they have stronger PSR with the influencers. However, they are less likely to buy the endorsed products when their self-esteem gets higher.

The study expands the dimensions of IC. The persuasive power of IC and influencer-user relationship was affected by individual differences, namely, self-esteem. Brands should pay attention to customers' personalities, motivations and preferences when designing strategies to market their products via social media.

With the increasing prevalence of social media in everyday life, scholars have argued the need of exploring enterprise social media (ESM) for workplace outcomes. This study investigates the relationship between ESM use and organizational learning capability (OLC) by focusing on the mediating role of informal learning (INFL) and the moderating role of social capital (SC).

The paper developed and tested a mediated moderated model explaining the impact of ESM on OLC. The study used temporally separated data of 281 respondents collected in two waves from firms in India that use organizationally facilitated ESM platforms for internal workplace communication.

An analysis of temporally separated two-wave data indicates that INFL mediates the relationship between ESM use and OLC. Also, SC is found to moderate the effect of ESM use on INFL, and INFL mediated the moderation effect of SC on relationship between ESM use and OLC such that the relationship will be stronger when employees have a higher rather than lower level of SC.

The study theoretically contributes and extends the literature on ESM and learning in organizations. The study provides important practical implications to support and institutionalize learning at work. The results of the study provide evidence that ESM are not just networking tools but a platform for learning. Findings of the study suggest that ESM can be one such tool to promote and capture employee INFL. The results also show that SC plays a critical role in predicting the extent to which employees learn informally using ESM, thereby building OLC. This result suggests that organizations should make conscious and concerted efforts to build employee SC. The above findings also have interesting implications for learning and development (L&D) and information technology (IT) managers who wish to implement technology for collaborative purposes.

Addressing the underlying processes that explain how ESM positively influence OLC was highlighted as a critical research gap that needs attention. The paper is novel in its approach as it provides empirical evidence for the relationship between ESM and its impact on employee outcomes, an area pertinent in today's digital economy, however, received sparse attention by management scholars so far. It also provides empirical grounds toward a meaningful shift in the social media discourse – transition from being traditionally viewed primarily as “a networking platform” to “a learning platform.”