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This chapter describes tenets of complexity theory including the precept that within the same set of data X relates to Y positively, negatively, and not at all. A consequence to this first precept is that reporting how X relates positively to Y with and without additional terms in multiple regression models ignores important information available in a data set. Performing contrarian case analysis indicates that cases having low X with high Y and high X with low Y occur even when the relationship between X and Y is positive and the effect size of the relationship is large. Findings from contrarian case analysis support the necessity of modeling multiple realities using complex antecedent configurations. Complex antecedent configurations (i.e., 2–7 features per recipe) can show that high X is an indicator of high Y when high X combines with certain additional antecedent conditions (e.g., high A, high B, and low C) – and low X is an indicator of high Y as well when low X combines in other recipes (e.g., high A, low R, and high S), where A, B, C, R, and S are additional antecedent conditions. Thus, modeling multiple realities – configural analysis – is necessary, to learn the configurations of multiple indicators for high Y outcomes and the negation of high Y. For a number of X antecedent conditions, a high X may be necessary for high Y to occur but high X alone is almost never sufficient for a high Y outcome.

The introductory chapter includes how to design-in good practices in theory, data collection procedures, analysis, and interpretations to avoid these bad practices. Given that bad practices in research are ingrained in the career training of scholars in sub-disciplines of business/management (e.g., through reading articles exhibiting bad practices usually without discussions of the severe weaknesses in these studies and by research courses stressing the use of regression analysis and structural equation modeling), this editorial is likely to have little impact. However, scholars and executives supporting good practices should not lose hope. The relevant literature includes a few brilliant contributions that can serve as beacons for eliminating the current pervasive bad practices and for performing highly competent research.

The purpose of this paper is to use tenets of the complexity theory in order to study the effect of various determinants of firm’s performance, such as CEO’s compensation and age, for the case of 72 insurance companies.

The authors identify the asymmetries in the data set by creating quantiles and using contrarian analysis. Instead of ignoring this information and use a main effects approach, all the available information in the data set is taken into account. For this purpose, the authors use qualitative comparative analysis to find alternative equifinal routes toward high firm performance.

Five configurations are found which lead to high performance. Every one of the five configurations is found to be sufficient but not necessary for high firm performance.

The research findings contribute to a better understanding of the determinants of firm’s performance taking into account the asymmetries in the data set. The authors identify alternative paths toward high firm performance, which could be vital information for the decision maker inside a firm.

Literature on the motives influencing consumers’ intention to use peer-to-peer (P2P) platforms has become vast and fragmented. The purpose of this paper is to shed light on this research stream by applying a novel methodological approach that reveals the existence of alternative combinations of motives that equally boost consumers’ intention to use P2P accommodation.

The methodological approach builds on the complexity theory and includes both linear and nonlinear techniques. The empirical analysis combines multiple regression analysis and fuzzy-set qualitative comparative analysis (fsQCA). The sample comprises 458 users of a leading P2P accommodation platform.

The fsQCA reveals four distinct combinations of motives. Social interaction and social esteem, either combined themselves or in partial combination with economic benefits, emerge as two important drivers of behavioral intention to use P2P accommodation. Sustainability appears in three of the combinations.

This paper contributes to the P2P accommodation literature by adopting a novel methodological approach that shows the complexity behind consumers’ intention to use P2P accommodation. Consumer motives cannot be considered as separate entities because their effect on consumer intention depends on the interplay among them. Therefore, the different combinations of motives should be managed simultaneously.

Placement prominence is a multidimensional concept. Previous studies have defined and operationalized prominence in different ways, and no studies have tried to systematically examine what should and should not be counted as prominence. This study aims to fill this gap.

Using a content analysis of six short films and a survey study on 129 Chinese young adults, this study systematically examined 13 dimensions of placement prominence on the memory of placed brands.

Factor analysis has reduced the 13 dimensions into five factors: contextual, narrative, sensory, exposure and spatial prominence. Fuzzy-set qualitative comparative analysis (QCA) software was used to conduct a contrarian case analysis and test for predictive validity. This was followed by a QCA to identify the optimal configurations of the five factors that may lead to a high recognition of the placed brands. The optimal configurations were also contrasted across two gender and brand familiarity groups. While the optimal configurations of prominence on brand memory for male and female participants were largely the same, the combinations differed between participants with low and high brand familiarity.

Previous studies in product placement usually operationalize prominence with a few dominant dimensions intuitively though several other dimensions, and their interactions could also affect the prominence level. To the best of authors’ knowledge, this is the first study that used multiple dimensions of prominence configurations to identify paths that may lead to low and high brand memory. The empirical results contribute to the theory and understanding of the effect of prominence on brand memory and provide guidance to brand managers in determining which prominence configuration is the most suitable for achieving their promotional objective.

This study aims to answer the following research questions: (1) How do features of sports and fitness live streaming content influence individuals’ viewing experiences? (2) How do these antecedents interact with each other to influence individuals’ intentions to exercise in the context of sports and fitness live streaming?

We employed both symmetric (PLS-SEM) and asymmetric (fsQCA) analyses using data from 886 participants. A mixed approach addresses the complex nature of the decision-making process among sports and fitness live streaming users.

The findings reveal that individuals’ appraisal of their interactions with sports and fitness streamers (i.e. instant feedback, interactivity) significantly affects their perceptions of telepresence, entertainment, and flow. These, in turn, positively influence their intention to exercise in live sports and fitness streaming sessions. The study also uncovers various combinations of causal conditions leading to exercise intention, a detail overlooked by the PLS-SEM method alone.

This research contributes to the literature on cognitive appraisal theory, particularly in the context of sports and fitness live streaming, by integrating symmetric and asymmetric analyses. Practically, strategic implications are provided for practitioners in sports and fitness industry.

Advanced servitization is the process that involves the combination of different services that facilitate both the use of a product and customer operations. Although servitization has emerged as a frequent strategy for manufacturers to differentiate themselves from the competition, its implementation can pose major challenges and may not always result in superior firm performance. Consequently, successful advanced servitization may require specific organizational capabilities to unleash performance-enhancing effects. To date, little is known about how to effectively configure advanced servitization to achieve such performance gains.

Adopting a fit theory perspective and using a configurational approach, we examine the interplay between servitization, organizational capabilities, contextual factors and financial performance. Specifically, we focus on advanced servitization and assess its necessity and sufficiency for achieving high financial performance. In addition, we study how the alignment of servitization approaches with organizational capabilities and contextual factors affects financial performance. We analyze data from 151 manufacturers in an emerging economy using fuzzy-set Qualitative Comparative Analysis (fsQCA).

Our findings indicate that advanced servitization is sufficient, but not necessary for high financial performance. In addition, the findings indicate that the alignment of servitization approaches with specific service-related capabilities unfolds complementarity effects that contribute to achieving high financial performance for manufacturers with different firm size and competitive intensity. The findings indicate three configurations that may serve as templates for managers to orchestrate resource allocation and successfully deploy advanced servitization.

Our study advances the servitization literature by further illuminating advanced servitization as a more complex servitization process. We show how high-performing manufacturers align servitization and organizational capabilities across different contexts, and thus provide design choices for managers in configuring servitization.

Given the unresolved question about which causal conditions contribute to accelerated internationalization among small and medium enterprises (SMEs) from weak institutional environment, this paper aims to combine theoretically relevant antecedents of domestic networks relationships (weak or strong domestic ties) and decision-making logic (effectuation or causation) to explore the configurations that are the most promising for explaining accelerated internationalization.

This study uses fuzzy-set qualitative comparative analysis (fsQCA) to examine the accelerated internationalization of 33 contrarian cases of SMEs located in weak institutional environment. The data set has been collected through in-depth interviews with managers in Colombia (21 cases) and Peru (12 cases). Building on the findings, an integrative model for accelerated internationalization is presented.

The authors found that the combination of weak domestic ties and effectuation logic accelerated the internationalization of SMEs with fewer resource constraints. In contrast, strong domestic ties and causation behavior lead to accelerated internationalization of SMEs with greater resource constraints. They propose a model to help enrich the existing literature about the causal configurations for achieving accelerated internationalization in SMEs from weak institutional environment.

The contribution of this study is to provide empirical evidence to address three shortcomings in the literature. First, the mixed results regarding the impact of strong and weak domestic ties and decision-making logic in the accelerated internationalization of SMEs; second, the limited research on domestic networks; and third, the scarce investigation in weak institutional environment, where the emphasis on constrained resources is higher.

This paper aims to determine pathways leading to enterprise profitability during the COVID-19 pandemic in the Philippines.

The study (N = 272) was participated by 228 micro, small and medium enterprises (MSMEs) and 44 large enterprises. Configurational analysis using the fuzzy-set qualitative comparative analysis was used in modelling combinations of firm characteristics and organizational resilience attributes that could lead to enterprise profitability.

Using the Benchmark Resilience Tool of Resilient Organisations, the study showed that three main attributes of organizational resilience (leadership and culture, networks and relationships, and readiness to change) played significant roles in enterprise profitability. Other conditions of varying influence on profitability included costs, sales, number of employees and the number of years in operations of an enterprise. For MSMEs, profitability can be achieved if all resilience attributes are present, while for large enterprises, the absence of some resilience attributes can be compensated by other attributes such as low decline in sales, low employee reduction, and more years in operation.

While the COVID-19 pandemic’s impacts have been far-reaching, the MSMEs and large enterprises are more likely to be profitable if they have used the three organizational resilience attributes. Moreover, these attributes do not only improve firm profitability and the overall enterprise performance during the present pandemic but also prepare them for future shocks.

To the best of the authors’ knowledge, modelling antecedents of enterprise profitability using configurational analysis is the first in the Philippines.

In this study, the effects of negative tourism impacts, length of residency and nativity on support for tourism development were examined.

Because understanding the attitudes of local people toward tourism support is complex, this study employed both symmetric (PLS-SEM) and asymmetric (fsQCA) approaches from a holistic perspective. A total of 336 individuals from Cappadocia, one of Turkey's most prominent tourist destinations, were surveyed.

According to the symmetric method results, respondents' negative perceptions of tourism negatively affect attitudes toward tourism support. Native-born status acts as a moderating variable in the relationship between attitudes toward tourism support and the negative economic impacts of tourism. On the other hand, this study shows that the complex interactions of nativity and the negative impacts of tourism directly affect local people's attitudes toward tourism support.

This study revealed that practitioners should adopt a comprehensive perspective to understand the attitudes of local people toward tourism support.

This study, in addition to the findings obtained via the symmetric method, reveals the complex interaction of the negative impacts of tourism, thus providing a roadmap to improve local people's attitudes toward tourism support by using asymmetric modeling.