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This study aims to investigate the relationship between brand love and brand addiction and their effects on consumers' negative behaviors with respect to excessive spending, trash-talking and the feeling of anxiety.

A sample of 352 young fashion brand consumers responded to a structured questionnaire. The resulting data were analyzed with structural equation modeling in MPlus.

While brand love and brand addiction are related concepts, their effects on negative consumer behaviors differ. In the presence of brand addiction as a mediator of brand love, brand addiction has a significant effect on the three negative behaviors, and the authors observe a suppression effect of brand love on the outcome variables, with total effects (direct and indirect) being insignificant.

The main limitation of this study was its single-country cross-sectional convenience sample.

While brand addiction could aid brands by leading consumers to spend excessively on them and trash-talk rival brands, it may also lead to increased consumer anxiety.

To the best of the authors’ knowledge, this is the first study to empirically assess the relationship between brand love and brand addiction and their effects on three distinctive negative consumer behaviors. This shows that brand love is an important antecedent of brand addiction.

The purpose of this paper is to determine the impact on brand love of consumption experience at the dimensional level and to determine whether brand love mediates between consumption experience and customer engagement in the context of Generation M.

A sample of 265 Muslim smartphone users responded to a structured questionnaire adapted from existing literature. First, confirmatory factor analysis was carried out, and then data were analyzed through structural equation modeling using MPlus.

The findings indicate that hedonic pleasure and escapism directly, while flow, challenge and learning indirectly affect brand love and that brand love mediates the relationship between consumption experience and customer engagement.

This paper explicates Generation M’s consumption experience, ascertains ways to supplement their love for brand and engage them in gainful relationships and provides suggestions for further investigation. From a managerial perspective, the paper has implications for the management of consumer experience, identifies the most valuable dimensions of consumption experience and proposes that managers can develop customer-engagement strategies via brand love.

The paper validates the mediating role of brand love in the relationship between consumption experience and customer engagement; is the first to investigate the relationship between all dimensions of consumption experience and brand love; is one of few studies to investigate consumption experience, brand love and customer engagement in developing countries; and is one of first investigations to use a sample of Generation M.

The purpose of this paper is to study a modified multiplicative analytic hierarchy process (MMAHP) method, which is combined with multi-criteria decision making (MCDM) and applied MMAHP model for solving green supplier selection problem.

Supplier selection is typically a MCDM problem including both qualitative and quantitative factors that has to be taken into consideration. To select the best green suppliers with the highest potential for meeting a firm’s needs consistently, the MMAHP is utilized in this study. Then a green supplier selection problem of a well-known automobile manufacturing company in Qingdao is investigated. The authors also make a comparison of the results with that of the traditional AHP, during which the authors observe that the MMAHP is an effective approach for the considered problem and potential rank reversals can be avoided, that is, when a new supplier is added, the ranking of suppliers does not change and maintains its original relative ratio.

A numerical example of green supplier selection is utilized to verify the proposed approach. The results show that the MMAHP is an effective approach for the considered problem and potential rank reversals can be avoided.

The proposed approach can be used to solving green supplier selection problems and can avoid the rank reversal.

The paper introduces the MMAHP method to help researchers to choose more effective approach for green supplier selection.

The traditional data envelopment analysis (DEA) model as a non-parametric technique can measure the relative efficiencies of a decision-making units (DMUs) set with exact values of inputs and outputs, but it cannot handle the imprecise data. The purpose of this paper is to establish a super efficiency interval data envelopment analysis (IDEA) model, an IDEA model based on cross-evaluation and a cross evaluation-based measure of super efficiency IDEA model. And the authors apply the proposed approach to data on the 29 public secondary schools in Greece, and further demonstrate the feasibility of the proposed approach.

In this paper, based on the IDEA model, the authors propose an improved version of establishing a super efficiency IDEA model, an IDEA model based on cross-evaluation, and then present a cross evaluation-based measure of super efficiency IDEA model by combining the super efficiency method with cross-evaluation. The proposed model cannot only discriminate the performance of efficient DMUs from inefficient ones, but also can distinguish between the efficient DMUs. By using the proposed approach, the overall performance of all DMUs with interval data can be fully ranked.

A numerical example is presented to illustrate the application of the proposed methodology. The result shows that the proposed approach is an effective and practical method to measure the efficiency of the DMUs with imprecise data.

The proposed model can avoid the fact that the original DEA model can only distinguish the performance of efficient DMUs from inefficient ones, but cannot discriminate between the efficient DMUs.

This paper introduces the effective method to obtain the complete rank of all DMUs with interval data.

This paper aims to outline the role of brands as relationship builders and to offer a better understanding of the recent developments and key literature in the area of consumer–brand relationships.

This paper is an editorial based mainly on a literature review on consumer–brand relationships. It uses the sentiment range and passion intensity to position various brand relationship constructs. This work follows the same bibliometric-analysis approach used by Fetscherin and Heinrich (2014) and looked for publications in the Web of Science on brand relationships, with reference to Fournier’s (1998) seminal work and data collected for the period between January 2010 and November 2018.

First, this work presents the key consumer–brand relationship terms and positions the work on brand love, brand like, brand hate, brand dislike and brand indifference. In addition, the bibliometric analysis offers a number of insights into the current state of the academic research in the area of consumer–brand relationships, including a clear indication that the research on consumer–brand relationships is increasing.

This work and the whole special issue together help in the understanding of brands as relationship builders, clearly explaining the continuum from strong positive or negative relationships with brands to no relationship with brands and the current state of research in the area.

The velocity head is usually neglected in the energy equation for a pipeline junction when one-dimensional (1D) hydraulic transient flow is solved by method of characteristics. The purpose of this paper is to investigate the effect of velocity head on filling transients in a branched pipeline by an energy equation considering velocity head.

An interface tracking method is used to locate the air–water interface during pipeline filling. The pressured pipe flow is solved by a method of characteristics. A discrete gas cavity model is included to permit the occurrence of column separation. A universal energy equation is built by considering the velocity head. The numerical method is provisionally verified in a series pipeline and the numerical results and experimental data accord well with each other.

The numerical results show that some differences in filling velocity and piezometric head occur in the branched pipeline. These differences arise because the velocity head in the energy equation can become an important contributor to the hydraulic response of the system. It is also confirmed that a local high point in the profile is apt to experience column separation during rapid filling. Significantly, the magnitude of overpressure and cavity volume induced by filling transients at the local high point is predicted to increase with the velocity in the pipes.

The velocity head in the energy equation for a pipeline junction could play an important role in the prediction of filling velocity, piezometric head and column separation phenomenon, which should be given more attention in 1D hydraulic transient analysis.

This paper seeks to examine the impact of information technology (IT) on the competitive advantages of third‐party logistics (3PL) firms in China.

A questionnaire‐based mail survey was conducted in mainland China. Spline regressions were used to model the relationship between IT and competitive advantages.

This study found that IT could significantly influence a firm's competitive advantage, and the effects are nonlinear.

The modeled relationship between IT and competitive advantages may not hold in different cultural environments and industrial settings. The sample size was small.

A higher IT focus may improve a firm's competitive advantage. To achieve competitive advantages efficiently, it is essential to integrate IT, align IT strategy and business strategy, obtain IT‐related management skills, and achieve IT competency. 3PL managers can expect competitive advantages from their investments in IT to begin showing up when the deployment of IT is higher than the average relative to competitors.

This paper is a pioneering study that investigates the relationship between IT and competitive advantages in 3PL firms; is a pioneering study on IT and its impact on competitive advantages in China's 3PL firms; and provides valuable guidance and insights for 3PL managers to improve competitive advantages using information technology.

As the infrastructure of the railway, the rail could sink or deform to different degrees due to the impact of train operation or the geological changing force for years, which will lead to the possibility that the facilities on both sides of the rail invade the rail clearance and bring hidden dangers to the safe operation of the train. The purpose of this paper is to design the gauge to measure the clearance parameters of rail.

Aiming at the problem, the gauge for clearance measurement was designed based on a combination measurement method in this paper. It consists of the measurement box and the rail measurement vehicle, which integrates a laser displacement sensor, inclination sensor, gauge sensor and mileage sensor. The measurement box was placed outside the rail vehicle. Through the design of a hardware circuit and software system, the movement measurement of the clearance parameters was realized.

In this paper, the measurement equations of horizontal distance and vertical height were established, the optimal solutions of the structural parameters in the equations were obtained by Levenberg–Marquardt method, then the parameter calibration problem was also solved.

The gauge has high precision; its measurement uncertainty reaches 1.27 mm. The gauge has manual and automatic working modes, which are convenient to operate and have practical popularization value.

The purpose of this paper is to provide the historical background of genealogical records and analyze the value of Chinese genealogical research through the study of names and genealogical resources.

The paper examines the historical evolution and value of Chinese genealogical records, with the focus on researching the Islamic Chinese names used by the people living in Guilin. The highlight of this paper includes the analysis and evolution of the Islamic Chinese names commonly adopted by the local people in Guilin. It concludes with the recommendations on emphasizing and making the best use of genealogical records to enhance the research value of Chinese overseas studies.

The paper covers the history of Islam and describes how the religion was introduced into China, as well as Muslims' ethnicity and identity. It also places focus on the importance of building a research collection in Asian history and Chinese genealogy.

This research study has a strong subject focus on Chinese genealogy, Asian history, and Islamic Chinese surnames. It is a narrow field that few researchers have delved into.

The results of this study will assist students, researchers, and the general public in tracing the origin of their surnames and developing their interest in the social and historical value of Chinese local history and genealogies.

The study of Chinese surnames is, by itself, a particular field for researching the social and political implications of contemporary Chinese society during the time the family members lived.

Very little research has been done in the area of Chinese local history and genealogy. The paper would be of value to researchers such as historians, sociologists, ethnologists and archaeologists, as well as students and anyone interested in researching a surname origin, its history and evolution.