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The purpose of this paper is to describe how and why to shift away from bad science practices now dominant in research in marketing to good science practices.

The essay includes details in theory construction and the use of symmetric tests to illustrate bad science practices. In contrast, the essay includes asymmetric case-based asymmetric theory construction and testing to illustrate good science practices.

Researchers in marketing science should not report null hypothesis significance tests. They should report somewhat precise outcome tests, avoid using multiple regression analysis (MRA) and do use Boolean-algebra-based algorithms to predict cases of interest.

Given the widespread dominance of bad science practices (e.g. MRA and structural equation modeling), the inclusion of both bad and good science practices may be necessary during the transition years of 2015–2025 (e.g. Ordanini et al., 2014).

Good science practices fit reality much closer than bad science practices. Asymmetric modeling includes recognizing the separate models are necessary for positive vs negative outcomes because the antecedents of each often differ.

This essay presents details of why and how researchers need to embrace a new research paradigm that is helpful for ending bad science practices that are now dominant in research in marketing.

The hypothesis is supported that substantial similarities exist in supplier choice strategies across industrialised nations. The nine studies reviewed indicate that a four‐step process is common to the majority of capital goods purchases and purchases of component parts and raw materials in some European countries and the United States

Second-order system-dynamics engineering (SOSDE) involves constructing and running enterprise manufacturing simulation models with new proposals for operational processes, byproducts, supply chain and/or downstream marketing designs. This paper aims to describe sustainability the principal lessons from enacting SOSDE research for achieving goals in large manufacturing firms.

This study is a case research commentary in the agricultural industry that contributes abductively derives six principal lessons from SOSDE research on introducing sustainability-focused manufacturing and product innovations. Operational processes in large-scale poultry processing plants in an emerging market represent the specific industry and firm domain of this case study. Alternative SOSDE simulation models of decisions, materials flow and outcomes with versus without operational innovations were constructed following one-to-one interviews with experienced farm managers and entrepreneurs.

The principles demonstrate how large farms in a developing nation (i.e. Bangladesh) go about adopting radically innovative manufacturing, supply chain and marketing operations to improve traditional operations. This study confirms and expands on the general observation that SOSDE can help achieve sustainability and environmental, social and governance goals, contribute new value outcomes by converting unused production wastes into valuable byproducts and introduce design efficiencies in production, supply chain and marketing processes. SOSDE complements, while being a revolutionary departure from, “six sigma management programs” that focus on achieving exceptional and near mistake-free manufacturing operations. Both represent distinct philosophies and sets of actions that sometimes can conflict with one another. Embracing both successfully in the same enterprise is a goal that may appear unreachable, seemingly impossible to achieve and yet represents a manufacturing/marketing epitome that is observable in exceptional enterprises.

This paper may generate controversy as well as advance interest in applying SOSDE in introductions of improved manufacturing, supply chain and marketing operations aiming to accomplish radical improvements in sustainability goals.

This commentary describes how using SOSDE and running alternative production simulations with versus without including superior, radically new, process innovations enable the firm to find and eliminate glitches in system changes and reduce the fear associating with breakdowns and financial losses due to inadequate knowledge of operating new industrial procedures and outcomes.

Introductions of superior radically new innovations in industrial manufacturing and marketing via SOSDE frequently include manufacturing firms embracing new environment sustainability objectives and additional marketable byproducts from the firm's main productions lines. This commentary offers details on how this process is enacted in poultry manufacturing in an economically emerging nation.

Running simulations in SOSDE research offers a low-cost, fast and in-depth method to test “what-if” impacts of enhanced and radical innovations into product/service manufacturing operations – benefits supporting the recommendation to apply systems dynamics in business and industrial marketing.

Discusses several propositions on the causes and realized strategies that are likely to be found in different industrial marketing‐purchasing situations involving rejecting versus accepting superior technological innovations ‐ innovations independently verified to provide superior operating characteristics and lower total costs compared to currently used products and manufacturing processes. Develops a theory of customer rejection of superior manufacturing technologies and product‐service innovations as a vehicle for summarizing a set of related propositions explaining such behavior. Reviews suggestions for empirical research to test the theory.

Poultry production supply chains produce substantial wastes that are transformable into favorable environmental outcomes and profitable products. While overwhelming evidence supports this conclusion, scant literature is available on how such transformations are doable. Using systems dynamics, this study addresses this research gap in a national (Bangladesh) context. This study aims to contribute an integrated model for poultry supply chains that incorporate reverse flows of wastes using system dynamics (SD) engineering with empirical simulations.

This study applies SD and simulations of alternative supply chains with versus without reverse loops that transform wastes into viable products in poultry production and downstream marketing operations. This research reports on an in-depth case study of systems thinking and use of the Massachusetts Institute of Technology systems dynamics software. Data for the study are longitudinal and come from written operation records and extensive, repeated, one-on-one Interview from a large poultry plant operation in Bangladesh.

This study finds that several current poultry waste production problems are solvable through an integrated approach that generates viable new marketable products with substantial profitable opportunities that also contributes to reductions in industrial pollution. This study confirms that forward, backward and reverse supply chains need to be under one umbrella system to achieve economic, social and environmental benefits.

This study’s SD model and outputs need additional applications in poultry supply chains in multiple countries. Applying the firm-level model that this study provides is a necessary but insufficient step toward empirical confirmation through replicating.

This paper aims to apply complexity theory tenets to deepen understanding, explanation and prediction of how configurations of national cultures and need motivations influence national entrepreneurial and innovation behavior and nations’ quality-of-life (QOL). Also, the study examines whether or not high national ethical behavior is sufficient for indicating nations high in quality-of-life.

Applying core tenets of complexity theory, the study constructs asymmetric, case-based (nations), explanations and predictive models of cultures’ consequences (via Schwartz’s seven value dimensions) and implicit need motivations (via McClelland’s three need motivations) indicating national entrepreneur and innovation activities and subsequent national quality-of-life and ethical behavior. The study includes testing configurational models empirically for predictive accuracy. The empirical examination is for a set of data for 24 nations in Asia, Europe, North and South America and the South Pacific.

The findings confirm the usefulness of applying complexity theory to learn how culture and motivation configurations support versus have negative consequences on nations’ entrepreneurship, innovation and human well-being. Nurturing of entrepreneur activities supports the nurturing of enterprise innovation activity and their joint occurrence indicates nations achieving high quality-of-life. The findings advance the perspective that different sets of cultural value configurations indicate nations high versus low in entrepreneur and innovation activities.

High entrepreneur activities without high innovation activity are insufficient for achieving high national quality-of-life. Achieving high ethical behavior supports high quality-of-life.

This study is one of the first to apply complexity theory tenets in the field of entrepreneurship research. The study here advances the perspective that case-based asymmetric modeling of recipes is necessary to explain and predict entrepreneur activities and outcomes rather than examining whether variable relationships are statistically significant from zero.

This study defines service breakdowns, service breakdown prevention, and “servicide” as they relate to service-dominant logic. The study reviews relevant relevant literature on these three topics. This study categorizes real-life examples into five levels of dramatic turns toward service degradations and breakdowns that range from customer being aware but not mentioning service inadequacy to the service breakdown resulting in death of the customer or service provider. Taking initial steps in developing dramatic turn theory and improving the practice of service breakdown prevention are the major contributions of this study.

This study is a conceptual contribution that includes a dramatic turn role-playing exercise (at category 4 among five categories of dramatic turns for pedagogical/on-site enacting/practicing and training of service professionals. The study emphasizes and shows how to create and enact role-playing scenarios to increase requisite variety, provide training modules and increase skills/expertise in service enactment contexts.

Before explicit reviewing of the dramatic-turn performances, some of the participants as actors as well as audience members in role-play dramatic turns were quick to blame the customer behavior as the principal cause for the service breakdown. The study’s exposition stresses prevention of negative dramatic turns follows from experiencing and coaching a wide variety of customer and server interactions – achieving “richness” in enactments.

Research on service breakdown prevention needs to include field experiments on the efficacy of training programs for effective management of dramatic turns.

Training of service workers and service managers in experiencing/participating in dramatic turns is likely to be beneficial in reducing the severe adverse outcomes and unintended consequences of service breakdowns. Prevention, not only service failure recovery, needs to be an explicit focus in hospitality management training and assessment.

This study suggests tools and procedures to reduce the instances of the need for service breakdown recoveries.

The study calls attention and contributes a way forward in managing dramatic turns in hospitality service contexts. The study provides a nascent configurational theoretical foundation of dramatic-turn propositions. Given the severity of financial costs and loss of brand/firm reputation following the occurrence of extreme dramatic turns, a research focus on service breakdown prevention is necessary.

Given the nature of corona chaos, tech startups confront strategic disorientation; therefore, this study aims to constructively engage with the theory development process in the area of management decision, adopt causal complexity with a configurational approach of McKinsey's 5R paradigm and the Newtonian gravitational field.

This study provides a novel conceptualization of systematic research of explanatory mechanisms for navigating the turbulence and consequences of the COVID-19 crisis. This configurational study shows how European tech startups adopt strategies in addressing COVID-19 challenges successfully.

The analysis reveals configurations that lead to the outcome of the conceptual model, namely, reimagining the equifinal paths to the next normal. The findings suggest that, in navigating the crisis, tech startups are able to seize market opportunities, capture technological opportunities and consolidate their future positions.

The principal limitation consists of limited empirical evidence regarding tech startups’ ability to navigate Covid-19 crisis and choose the appropriate path to the next normal.

This study enhances European tech startups’ capability to adopt reflexivity and openness while navigating the Covid-19 chaotic context. Furthermore, the study provides a managerial toolkit to guide strategic decisions via deepening their understanding of the new created realities.

This study provides a novel conceptualization of systematic research on explanatory mechanisms for navigating the turbulence and consequences of the COVID-19 crisis context. This configurational study shows how European tech startups adopt strategies that address COVID-19 challenges successfully.

This introductory paper aims to offer a rudimentary model that describes the antecedent recipes for creating native-visitors. The paper describes what is unique and valuable about the seven articles that follow in their descriptions and explanations of the behavior of native-tourists. This special issue is to honor the originality and value of the contributions of tourism research’s leading critic, John Urry.

The paper presents a paradigm that includes eight profiles of tourists identified by low/high conjunctions of knowledge, training and authentication of performances of tourism places. The study calls for a normative stance that tourists should develop a sense of obligation to learn before visiting to enrich understanding of what they are seeing and to reduce the negative outcomes of the tourist gaze. The method includes describing the unique and valuable contributions in each of the seven following articles in the issue.

The analysis and outcomes are viewable best as propositions from a thought experiment. The seven articles that follow the introduction are appropriate data for a meta-review of the development of new meanings of tourism generated from the concept of native-tourist.

This study may spur necessary additional work to confirm that native-tourists do interpret performing tourist places differently and more richly than naïve tourists.

The article is high in originality in establishing the benefits from studying native-tourists as unique contributors to clarifying and deepening the meanings of tourism drama enactments.

This paper aims to advance a configural asymmetric theory of the complex antecedents to hospitality employee happiness-at-work and managers’ assessments of employees’ quality of work performance. The study transcends variable and case-level analyses to go beyond prior statistical findings of small-to-medium effect sizes of happiness–performance relationships; the study here identifies antecedent paths involving high-versus-low happy employees associating with high-versus-low managers’ assessments of these employees’ performances.

The study merges data from surveys of employees (n = 247) and surveys completed by their managers (n = 43) and by using qualitative comparative analysis via the software program, fsQCA.com. The study analyzes data from Janfusan Fancyworld, the largest (in revenues and number of employees) tourism business group in Taiwan; Janfusan Fancyworld includes tourist hotels, amusement parks, restaurants and additional firms in related service sectors.

The findings support the four tenets of configural analysis and theory construction: recognize equifinality of different solutions for the same outcome, test for asymmetric solutions, test for causal asymmetric outcomes for very high versus very low happiness and work performance and embrace complexity.

Additional research in other firms and additional countries is necessary to confirm the usefulness of examining algorithms for predicting very high (low) happiness and very high (low) quality of work performance. The implications are substantial that configural theory and research will resolve perplexing happiness–performance conundrums.

The study provides useful case-level algorithms involving employees’ demographic characteristics and their assessments of work facet-specifics which are useful for explaining very high happiness-at-work and high quality of work performance (as assessed by managers) – as well as algorithms explaining very low happiness and very low quality of work performance.

The study is the first to propose and test the tenets of configural theory in the context of hospitality frontline service employees’ happiness-at-work and managers’ assessments of these employees’ quality of work performances.