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The purpose of this paper is to empirically study the necessary and sufficient antecedents of customer loyalty to logistics service providers (LSPs). Despite the abundance of loyalty studies, few studies have empirically examined the complex causal relationships between loyalty and its antecedents using the appropriate research methods.

The study uses fuzzy sets qualitative comparison analysis (FsQCA) to uncover the antecedents and antecedent configurations of customer loyalty. This study examined the necessity and sufficiency of five antecedents (operational collaboration, strategic collaboration, trust, service satisfaction and price satisfaction) and on five dimensions of loyalty (repurchase intension, switching costs, exclusiveness, referrals and overall loyalty). This study developed six research hypotheses based on existing literature and tested them empirically in a manufacturing context. This study compared results from FsQCA with regression analysis.

The findings reveal that only a few antecedent configurations lead to customer loyalty, including a combination of strategic and operational collaboration, bundling of service offerings and combining competitive price with strategic collaboration. Further, the absence of trust negatively affects loyalty, but the presence of trust does not lead to loyalty.

This study contributes to business to business literature by demonstrating how to use FsQCA analysis to test the presence of equifinality, conjunction and causal asymmetry of complex relationships. This study applies FsQCA between antecedent factors and customer loyalty. Furthermore, we demonstrate how to compare and integrate FsQCA with conventional regression analysis which is based on correlation-bounded logic.

This study shows that no single antecedents that can generate loyalty, yet, few antecedent configurations work better than others: collaborating at both strategic and operational level with your partner has the highest impact on loyalty. Another configuration that leads to loyalty is to combine competitive prices with strategic collaboration, which particularly stimulates repurchase decisions. Price is are not sufficient enough to lead to customer loyalty.

This study applied a novel analysis to uncover necessary and sufficient conditions that conventional methods such as regression analysis and structural equation modelling have limited power.

This chapter addresses one of the most crucial areas for critical thinking: the morality of turbulent markets around the world. All of us are overwhelmed by such turbulent markets. Following Nassim Nicholas Taleb (2004, 2010), we distinguish between nonscalable industries (ordinary professions where income grows linearly, piecemeal or by marginal jumps) and scalable industries (extraordinary risk-prone professions where income grows in a nonlinear fashion, and by exponential jumps and fractures). Nonscalable industries generate tame and predictable markets of goods and services, while scalable industries regularly explode into behemoth virulent markets where rewards are disproportionately large compared to effort, and they are the major causes of turbulent financial markets that rock our world causing ever-widening inequities and inequalities. Part I describes both scalable and nonscalable markets in sufficient detail, including propensity of scalable industries to randomness, and the turbulent markets they create. Part II seeks understanding of moral responsibility of turbulent markets and discusses who should appropriate moral responsibility for turbulent markets and under what conditions. Part III synthesizes various theories of necessary and sufficient conditions for accepting or assigning moral responsibility. We also analyze the necessary and sufficient conditions for attribution of moral responsibility such as rationality, intentionality, autonomy or freedom, causality, accountability, and avoidability of various actors as moral agents or as moral persons. By grouping these conditions, we then derive some useful models for assigning moral responsibility to various entities such as individual executives, corporations, or joint bodies. We discuss the challenges and limitations of such models.

This empirical study aims to explore sufficiency conditions for patient loyalty to a hospital.

The study collected 645 self-administered questionnaires from patients in a major medical center in Taiwan and applied fuzzy set qualitative comparative analysis (fs/QCA) to explore the sufficiency conditions for patient loyalty.

The findings support the conclusion that the three conditions (patient satisfaction, patient participation in the process of diagnosis, and patient participation in treatment decision-making) in combination are sufficient for high patient loyalty to the hospital but high patient satisfaction alone is insufficient. While the three conditions in configural algorithm are sufficient, this expression is not necessary, which means the findings do not reject possible alternative conditions for high patient loyalty.

The study applies a relatively new method, fuzzy set qualitative comparative analysis (fs/QCA) to test the sufficiency proposition of the theory. This method enables researchers to focus on examining sufficient conditions without worrying about various confounding factors and informs this study ' s conclusion that patients exhibiting high scores in all three conditions mentioned above constitute a near-perfect subset of highly loyal patients. Hospitals thus should provide their satisfied patients opportunities to share a role in the process of diagnosis and treatment decision-making.

Along with patient satisfaction, this study clearly identifies two important stages of patient participation (i.e., participation in the process of diagnosis and treatment decision-making) that are important in forming patient loyalty to a hospital. Prior studies do not present empirical evidence to this proposition.

The aim of this chapter is to review and illustrate a step-by-step guideline in conducting fuzzy-set Qualitative Comparative Analysis (fsQCA) in tourism and hospitality studies. As an emerging method, fsQCA is simultaneously quantitative and qualitative in nature which makes it an appropriate method for social science disciplines including tourism and hospitality area because of complex nature of relationships between multiple variables where theories and models are underdeveloped. Unlike conventional statistical techniques, fsQCA is an asymmetrical analysis technique that provides a holistic view and interrelationships among several conditions using Boolean algebra. The fsQCA analyses produce comprehensive assessment by revealing causal combinations of antecedents to predict an outcome; and identify sufficient configurations (i.e., causal combinations and recipes) and necessary condition/s. By utilizing this method, researchers would be able to produce complex, comprehensive, and robust results.

This study applies asymmetric rather than conventional symmetric analysis to advance theory in occupational psychology. The study applies systematic case-based analyses to model complex relations among conditions (i.e., configurations of high and low scores for variables) in terms of set memberships of managers. The study uses Boolean algebra to identify configurations (i.e., recipes) reflecting complex conditions sufficient for the occurrence of outcomes of interest (e.g., high versus low financial job stress, job strain, and job satisfaction). The study applies complexity theory tenets to offer a nuanced perspective concerning the occurrence of contrarian cases – for example, in identifying different cases (e.g., managers) with high membership scores in a variable (e.g., core self-evaluation) who have low job satisfaction scores and when different cases with low membership scores in the same variable have high job satisfaction. In a large-scale empirical study of managers (n = 928) in four (contextual) segments of the farm industry in New Zealand, this study tests the fit and predictive validities of set membership configurations for simple and complex antecedent conditions that indicate high/low core self-evaluations, job stress, and high/low job satisfaction. The findings support the conclusion that complexity theory in combination with configural analysis offers useful insights for explaining nuances in the causes and outcomes to high stress as well as low stress among farm managers. Some findings support and some are contrary to symmetric relationship findings (i.e., highly significant correlations that support main effect hypotheses).

In the era of dramatic developments in technology worldwide, the relative competitiveness of a corporation/country over time has to be continuously calibrated and pro‐actively protected. Here, for the first time, we develop two sufficient conditions, and 12 necessary conditions of continuous competitiveness (CC): the ratio of value‐added per unit of currency of OUR product (service) to THEIR product (service). In Chapter 1, we apply CC to three corporations (IBM, CEC, API) and to three countries (Japan, Taiwan, Korea). At a time when IBM enjoyed 80 percent of the market, it decided to commit 83 percent of the next four years' TOTAL SALES to build a new generation of computers on the unproven technology of integrated circuits to assure IBM's continuous competitiveness. To the same end, Japan pro‐actively selected the growth industry of each decade beginning in the '50s (computers), and nurtured it, taxing other industries. The first year in which the US trade with the Pacific exceeded that of the Atlantic, 1982, is the benchmark of a study of competitiveness of two countries of comparable population and exports, Korea and Taiwan. If Taiwan exports rose in volume but lost in profitability, Taiwan needs to make better products cheaper and faster. If the required technology advances are not fully available domestically, they need to be imported: Which is the rationale of technology transfer (techtransfer). Techtransfer can meet one of the necessary conditions of CC, viz., the desired technological progression‐from linear extensions of performance characteristics along the same curve, to quantum jumps from one technology curve to another. The techtransfer over two decades from IBM‐Taiwan to Taiwan Manufacturers as a whole progressed from components to complete product: Which could be considered at best as linear extensions of performance characteristics. For a country like Taiwan, whose trade (i.e. exports + imports) is as much as 94.8% of GNP, and which does not have a highly developed R&D base, techtransfer is a prime means of upgrading the technology. We will examine two Taiwan corporations which expanded exports through techtransfer: one, a Taiwan components manufacturer; and two, a Taiwan power supply manufacturer. As vendors to IBM, they aggressively pursued techtransfer from IBM. These empirical applications set the stage to examine Malaysian experience of E&E in Chapter 2.

In response to the problem of insufficient traction/braking adhesion force caused by the existence of the third-body medium on the rail surface, this study aims to analyze the utilization of wheel-rail adhesion coefficient under different medium conditions and propose relevant measures for reasonable and optimized utilization of adhesion to ensure the traction/braking performance and operation safety of trains.

Based on the PLS-160 wheel-rail adhesion simulation test rig, the study investigates the variation patterns of maximum utilized adhesion characteristics on the rail surface under different conditions of small creepage and large slip. Through statistical analysis of multiple sets of experimental data, the statistical distribution patterns of maximum utilized adhesion on the rail surface are obtained, and a method for analyzing wheel-rail adhesion redundancy based on normal distribution is proposed. The study analyzes the utilization of traction/braking adhesion, as well as adhesion redundancy, for different medium under small creepage and large slip conditions. Based on these findings, relevant measures for the reasonable and optimized utilization of adhesion are derived.

When the third-body medium exists on the rail surface, the train should adopt the low-level service braking to avoid the braking skidding by extending the braking distance. Compared with the current adhesion control strategy of small creepage, adopting appropriate strategies to control the train’s adhesion coefficient near the second peak point of the adhesion coefficient-slip ratio curve in large slip can effectively improve the traction/braking adhesion redundancy and the upper limit of adhesion utilization, thereby ensuring the traction/braking performance and operation safety of the train.

Most existing studies focus on the wheel-rail adhesion coefficient values and variation patterns under different medium conditions, without considering whether the rail surface with different medium can provide sufficient traction/braking utilized adhesion coefficient for the train. Therefore, there is a risk of traction overspeeding/braking skidding. This study analyzes whether the rail surface with different medium can provide sufficient traction/braking utilized adhesion coefficient for the train and whether there is redundancy. Based on these findings, relevant measures for the reasonable and optimized utilization of adhesion are derived to further ensure operation safety of the train.

The aim of this chapter is to introduce a methodology that enables researchers to employ a set of systematic comparative tools and techniques in their multiple case study research that allow them to move from drawing loose comparisons towards a more formalised type of analysis, while simultaneously paying attention to within-case complexities. This methodology stands between the qualitative and the quantitative methods and helps researchers to build middle-range theories (Mjoset, 2001) from small to intermediate numbers of cases. This methodology encompasses a number of techniques including crisp and fuzzy set-theoretic qualitative comparative analyses, which have been used in a wide range of social science disciplines. However, these techniques have not received sufficient attention from higher education scholars.

Individuals showing high consumer ethnocentrism (CE) prefer domestic over foreign-made products and their preferences may contribute to barriers to international market entry. Therefore, how to identify such consumers is an important question. Shankarmahesh’s (2006) review reveals inconsistencies in the literature with regard to CE and its antecedents. To shed theoretical and empirical light on these inconsistencies, the purpose of this paper is to contribute two new perspectives on CE: first, a typology that classifies ethnocentric consumers by the extent to which they support government-controlled protectionism and consumer-controlled protectionism; and second, a configurational (recipe) perspective on the antecedents.

The study applies fuzzy-set qualitative comparative analysis of survey data from 3,859 consumers. The study contrasts the findings with findings using traditional statistical hypotheses testing via multiple regression analysis.

The results reveal several configurations of antecedents that are sufficient for consistently explaining three distinct types of CE. No single antecedent condition is necessary for high CE to occur.

The findings help global business strategists in their market entry decisions and in their targeting and segmentation efforts.

The authors show the value of asymmetrical thinking about the relationship between CE and its antecedents. The results expand understanding of CE and challenge conventional net-effects thinking about its antecedents.

To investigate the general necessary condition for synthesis of square, real rational matrices of complex frequency as admittance matrices of active multiports with resistors, inductors, capacitors and possibly multiport transformers and to prove that this condition is also sufficient for synthesis of stable, square, real rational matrices of complex frequency as admittance matrices of balanced active multiports having only resistors, capacitors and voltage‐amplifiers with sufficiently large amplifications. The main aim of the paper is to provide a new and general method for stable admittance matrices synthesis and to develop strict realization algorithm by active balanced transformerless multiport networks.

The objectives of the paper are achieved by using factorization of regular polynomial matrices in complex frequency with certain degree as products of other regular polynomial matrices with specified degrees. A set of sufficient conditions for such a factorization is presented and derived a pertinent algorithm as the starting point for investigation and solving network synthesis problem and generation of class of equivalent realizations.

Theorem 1 states that sufficient condition for factorization of Pth order, generally regular polynomial matrix P(s) in complex frequency s with degree L, whose determinant has K distinct zeros, in form P(s)=P₁(s)·P₂(s), where 1≤p₂=P₂⁰≤L−1 is degree of polynomial matrix P₂(s), reads: K>(P−1)·L+p₂−1. The coefficient‐matrices of s, s²,… in P₁(s) and P₂(s) are real or complex depending on whether distinct zeros of det P(s) are real or complex, respectively. Theorem 2 states that: (a) for realization of Pth order matrix of real rational functions in complex frequency s (i.e. RRF matrix) as admittance matrix of active balanced RLC P‐port network with multiport transformers, or without them, P generalized controlled‐sources and P controlling‐ports are necessary, in general; and (b) P balanced voltage‐controlled voltage‐sources (VCVSs) with real and by module greater than unity controlling coefficients (“voltage amplifications”) are sufficient for realization of stable admittance RRF matrix by active, balanced, transformerless, RC P‐port network.

This is a research paper with the following two main contributions (original results). First, a theorem on sufficient conditions for factorization of regular polynomial matrices in complex frequency; and second, a theorem relating to sufficient conditions for synthesis of matrices of real rational functions in complex frequency by active, balanced, transformerless networks. The results may be interesting for network theorists and researchers in the field of electric circuits and systems.