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This study investigates the pathways for adopting IoTs and BDA technologies to improve healthcare management.

The study relied on 445 healthcare professionals' perspectives to explore different causal pathways to IoTs and BDA adoption and usage for daily healthcare management. The Fussy-set Qualitative Comparative Analysis was adopted to explore the underlying pathways for healthcare management.

The empirical analysis revealed six different configural paths influencing the acceptance and use of IoTs and BDA for healthcare improvement. Two key user topologies from the six configural paths, digital literacy and ease of use and social influence and behavioural intentions, mostly affect the paths for using digital health technologies by healthcare physicians.

Despite this study's novel contributions, limitations include the fsQCA methodology, perceptual data and the context of the study. The fsQCA methodology is still evolving with different interpretations, although it reveals new insights and as such further studies are required to explain the configural paths of social phenomena. Additionally, future research should consider other constructs beyond the UTAUT and digital literacy to illustrate configural paths to healthcare technology acceptance and usage. Again, the views of healthcare professionals are perceptual data. Hence future research on operational data will support significant contributions towards pathways to accept and use emerging technologies for healthcare improvement. Lastly, this study is from a developing country perspective where emerging digital healthcare technology is still emerging to support healthcare management. Hence, more investigation from other cross-country analyses of configural paths for digital technology deployment in healthcare will enhance the conversation with IoTs and BDA for healthcare management.

Holistically, the acceptance and use of healthcare technologies and platforms is not solely on their capabilities, but a combination of distinct factors driven by users' perspectives. This offers healthcare administrators and institutions to essentially reflect on the distinct combinations of conditions favourable to health professionals who can use IoTs and BDA for healthcare improvement.

This study is among the few scholarly works to empirically investigate the configural paths to support healthcare improvement with emerging technologies. Using fsQCA is a unique contribution to existing information system literature for configural paths for healthcare improvement with emerging digital technologies.

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.

This study develops and tests a theoretical research model delineating the relationships between consumers' patriotism and their response to patriotic advertising and the advertised brand, and examines if the research model has the same pattern across different sporting events. Structural Equation Modeling is employed to test the model by using data collected from three different sporting event contexts. The results provide empirical evidence of the positive influence of consumers' patriotism on attitudes towards patriotic advertising and brands in sporting event contexts. A direct effect of patriotism on sports event involvement is found in international mega-sporting events but not in a domestic (or national) sporting event.

Developing countries in many parts of the world have experienced a disturbing trend in the differential pace of economic development among urban and rural communities. These inequities have been observed in education systems in Asia, Africa, and Latin America where researchers have documented differences not only in resource allocation but also in the academic performance among students in urban and rural schools. Recently researchers have shifted their focus from examining financial and physical resources to investigating the nature and impact of differences in human resources. The purpose of this paper is to examine differences in school organization processes associated with learning-centered leadership and teacher learning among urban and rural primary schools in Thailand. Teacher trust and teacher agency were proposed as possible mediators of leadership effects on teacher learning.

This study employed a cross-sectional survey design. The authors collected survey data from 1,011 teachers and 60 principals in 30 urban and 30 rural primary schools in Thailand. Multi-group confirmatory factor analysis, structural equation modeling, and bootstrapping were used to analyze the proposed model of leadership and teacher professional learning. More specifically, data analysis was aimed at determining the nature of relationships among the constructs in the conceptual model and whether patterns of leadership and teacher learning differed in urban and rural primary schools.

The results affirmed a model whereby school leadership exerted significant indirect effects on teacher learning in both urban and rural primary schools. Data analyses determined that the path of leadership effects moved through trust to agency and then to teacher professional learning. Thus, while the authors found a strong direct effect of leadership on teacher trust, there were only small direct effects of leadership on teacher agency and no meaningful direct effects of leadership on teacher professional learning. Thus, the research affirmed a full mediation model of leadership effects on teacher learning. Finally, the study also affirmed that the measured variables were perceived as significantly stronger in the urban schools than in the rural schools.

The research expands on prior research on the “achievement gap” in Thailand by demonstrating the existence of a similar “human resource gap” when comparing urban and rural school leaders and teachers. This study implies that addressing the gap in student achievement will require action aimed at building the capacity of the principals and teachers who work with the rural pupils.

These results suggest differences in the quality of human resources between urban and rural primary schools in Thailand. There may be potential benefit to be gained from providing training focused on “learning-centered leadership” for principals and middle level leaders, as well as expanding access to quality professional development opportunities for rural teachers.

This paper aims to examine the structural relationships among the variables of social cause involvement, attitudes toward the endorser, attitudes toward advertising, attitudes toward the brand and social cause behavioral intentions. Additionally, by using the persuasion knowledge model (PKM) as the guiding framework, the moderating effects of ad perception on the proposed relationship were investigated.

By using Amazon Mechanical Turk, a total of 291 usable surveys were retained for analysis. Following the participants' exposure to the Nike commercial, they completed a survey containing questions about advertising perception and their consequent responses to the advertisement. Structural equation modeling was used to test the conceptual model. Multigroup analysis was also performed to discover any moderating effects of consumers' advertising perception in endorsement effectiveness.

This study highlights the extensive impact of social cause involvement in the domain of celebrity endorsements, while attitudes toward the endorser are not a significant antecedent of celebrity endorsement effectiveness in the sport contexts. Additionally, this study demonstrates and confirms the presence of the moderating effects of advertisement perception on the proposed relationship. This supports the general premise of the PKM that consumers' attitudes and thoughts are influenced based on consumers' judgment of persuasion attempts.

The current study extends the line of research on the role of advertising perception in the domain of celebrity endorsement. In particular, this study found that the PKM is a theoretically sound model that can be used to predict sports fans' attitudinal and behavioral responses.

The objectives of the study are threefold. First, it offers the development and validation of a scale to measure public sector servant leadership. Second, the study assesses the mediating role of self-efficacy in the relationship of servant leadership with life satisfaction. Finally, based on the tenets of complexity theory, fsQCA was utilized to identify the causal recipes that could lead to improved self-efficacy and life satisfaction in public sector employees.

Following a cross-sectional research design, data were collected from 352 public sector employees in Pakistan. CB-SEM and fsQCA techniques were used for data analysis.

Results revealed that leadership is a multidimensional construct having dimensions: authenticity, behaving ethically, development, emotional healing, humility and wisdom. Furthermore, the results showed a significant inter-relationship of servant leadership with self-efficacy and life satisfaction. Self-efficacy mediated the relationship between servant leadership and life satisfaction. The results showed various configurations of servant leadership dimensions leading to improved self-efficacy and life satisfaction.

This is one of the first studies to conceptualize the SL in the public sector and to develop a multidimensional scale for measuring and assessing its psychometric properties. The research contributes to existing knowledge by examining the role of servant leadership in promoting employee life satisfaction through self-efficacy. As a methodological contribution, the study is one of the first to use fsQCA in SL literature. Due to the greater emphasis on symmetric methods, there is a significant lack of research studies on causal configuration in public sector organizations.

Drawing on the relational view and contingency theories, this study explores supply chain relationship conditions' roles in interrelationships between environmental, social and supply chain performance (SCP), i.e. triple bottom line (TBL).

The data from industries and structural equation modeling (SEM) were used to validate the proposed model. Interviews with industry experts were conducted to further understand the findings.

The authors find that relationship conditions, such as inventory information sharing, dependency, opportunistic behavior and conflicts, moderate TBL linkages. Interestingly, power asymmetry does not moderate the linkages. Social performance mediates between environmental and SCP. This indirect effect is stronger than the effect of environmental performance on SCP.

This research is perhaps the first to bring a much-needed nuanced view on the importance of relationship conditions for TBL performance linkages. The research further underlines the importance of social performance in an emerging economy.

Based on the tenets of complexity theory, the purpose of the study is to identify the causal recipes that can lead to improved customer loyalty.

A cross-country sample was drawn from Pakistan, China and Italy to explore customers’ hotel experiences. The study used asymmetrical fuzzy set qualitative comparative analysis (fsQCA) to unearth the recipes of antecedent conditions that can predict high scores in customer loyalty.

The study results complementing the major tenets of complexity theory found several recipes in each of the countries that can lead to improved customer loyalty.

Instead of focusing on individual factors, and how they impact loyalty, the study will help hotel management to understand the complexity of loyalty and it may not be improved through individual focus on antecedent conditions, instead, different pathways/recipes can help improve the loyalty. The study will help managers uncover alternative ways to attain increasing customer loyalty. The results reveal that customers in different countries have varied paths leading to loyalty, showing that hotel administration should not consider all customers as equal, with changing culture there is a change in how high loyalty may be achieved.

Customer loyalty is a complex construct, and the latest research reveals that symmetric methods have significant limitations, as they view loyalty as an outcome of isolated antecedents. Symmetric methods are less informative and have limited theoretical implications. Drawing on the tenets of complexity theory the study contributes to the loyalty literature in the hotel industry by highlighting the causal configurations leading to improved customer loyalty.

This chapter elaborates on the usefulness of embracing complexity theory, modeling outcomes rather than directionality, and modeling complex rather than simple outcomes in strategic management. Complexity theory includes the tenet that most antecedent conditions are neither sufficient nor necessary for the occurrence of a specific outcome. Identifying a firm by individual antecedents (i.e., noninnovative vs. highly innovative, small vs. large size in sales or number of employees, or serving local vs. international markets) provides shallow information in modeling specific outcomes (e.g., high sales growth or high profitability) – even if directional analyses (e.g., regression analysis, including structural equation modeling) indicate that the independent (main) effects of the individual antecedents relate to outcomes directionally – because firm (case) anomalies almost always occur to main effects. Examples: a number of highly innovative firms have low sales while others have high sales and a number of noninnovative firms have low sales while others have high sales. Breaking-away from the current dominant logic of directionality testing – null hypothesis significance testing (NHST) – to embrace somewhat precise outcome testing (SPOT) is necessary for extracting highly useful information about the causes of anomalies – associations opposite to expected and “statistically significant” main effects. The study of anomalies extends to identifying the occurrences of four-corner strategy outcomes: firms doing well in favorable circumstances, firms doing badly in favorable circumstances, firms doing well in unfavorable circumstances, and firms doing badly in unfavorable circumstances. Models of four-corner strategy outcomes advance strategic management beyond the current dominant logic of directional modeling of single outcomes.