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This paper aims to study consumers’ visual attention and emotional experience with clothing design factors and their combinations from the perspective of cognition and emotion and propose an interaction phenomenon to evaluate the combined effect of clothing factors to better guide online clothing design and sales.

An eye movement physiology experiment was conducted, 33 participants screened by questionnaires were invited for this experiment. Hypotheses of visual attention were verified by the FIRST_FIXATION_TIME indicator, DWELL_TIME indicator and FIXATION_COUNT indicator. Hypotheses of emotional experience were verified by the PUPIL_SIZE indicator.

First, on the product list page, it is better to use only the three factors of clothing and a small number of stimulating factors. Second, when the stimulus is consistent with the cognitive task performed by the consumer, the efficiency of the task and the consumer's user experience will be improved. Third, the positive interaction phenomenon of clothing design factors and their combinations could significantly attract consumers' visual attention and improve their emotional experience.

This work argues consumer interest and emotional experience with online clothing can be expressed through eye movement physiological indicators, and the concept of interaction was proposed to evaluate the design and display of online clothing.

This paper conducted interaction research on online clothing design factors and their combinations from the perspective of cognition and emotion, which provided an objective quantitative method for online clothing designers and online clothing retailers.

Describes a qualitative study on interaction between systems for production control and quality control within industrial organisations. Production control and quality control interact in a sense. Good performance for one aspect often influences or frustrates the performance of the other. As far as is known, the phenomenon of interaction between production control and quality control has not been described extensively in literature. Therefore we decided to form an inductive theory, based on fieldwork. As a result the study had a particularly qualitative character. It was necessary to sharply delineate the concepts of production control and quality control. The authors regard production control and quality control as two separate, but mutually influencing, control systems in the organisation. On the basis of four case studies, a model was developed that describes and explains the interaction phenomenon between production control and quality control. From this interaction model, points of attention can be deduced for the re‐design of production control systems and quality control systems. The model was tested in two other case studies involving consultants in the area of production control.

The purpose of this study is to explore the attitudes and beliefs of front‐line employees regarding how customer‐company interactions might be improved. Since front‐line employees are closely connected to customers, the resultant experiences and relationships with customers are highly dependent on their actions. However, little is written from the perspective of front‐line employees.

Using a qualitative approach and employing an adaptation of the grounded theory method, this study uses front‐line employee participants with data collection occurring over a six‐month period. A variety of data sources were used including open‐ended reciprocal interviews, member‐checking interviews, observation, and collection of participant and researcher artifacts.

Findings suggest that organizational changes initiated by management create strategically constructed silos that force implementation through people and systems to control and standardize the service interface and resultant customer experience(s). This reactive and inwardly focused construction of silos often serves company rather than customer needs and can result in deteriorating service levels based on the type of customer‐company interaction occurring.

Contrary to how most customer service processes are designed by management, not all customer‐company interactions are alike and vary both in regard to the degree of knowledge needed by front‐line employees to fully serve customers, and the routine or non‐routine nature of the interaction. A two‐by‐two matrix is presented to highlight the impacts of silos occurring for various interaction types.

Despite the fact that commercial sponsorship nowadays is a common phenomenon with salient effects on different aspects of developed societies at large (e.g. sports, the arts, the public sector, the media), academic research interest in this closely marketing‐related field seems to be rather low. Although there have been significant changes in marketing thinking during the 1990s, current research on sponsorship seems to be “stuck” in the more traditional, marketing‐mix management – and mass communicative effects‐based discourse. This paper aims at presenting a theoretical overview of how current sponsorship research could be developed further by applying the basic ideas and concepts provided by the interaction/network approach to the study of sponsorship‐related phenomena. Adopting an interaction/network perspective means that, instead of measuring the mass‐communicative effects on various audiences, the focus is on understanding the development of sponsorship relationships and networks, as well as on interpersonal communication processes going on between the sponsorship parties.

The attributes that influence the selection of applicants and the relevant crediting decisions are naturally distinguished by interactions and interdependencies. A new method of possibilistic discrimination analysis (MPDA) was developed for the second stage to address this phenomenon. The method generates positive and negative discrimination measures for each alternative applicant in relation to a particular attribute. The obtained discrimination pair reflects the interaction of attributes and represents intuitionistic fuzzy numbers (IFNs). For the aggregation of applicant's discrimination intuitionistic fuzzy assessments (with respect to attributes), new intuitionistic aggregation operators, such as AsP-IFOWA and AsP-IFOWG, are defined and studied. The new operators are certain extensions of the well-known Choquet integral and Yager OWA operators. The extensions, in contrast to the Choquet aggregation, take into account all possible interactions of the attributes by introducing associated probabilities of a fuzzy measure.

For optimal planning of investments distribution and decreasing of credit risks, it is crucial to have selected projects ranked within deeply detailed investment model. To achieve this, a new approach developed in this article involves three stages. The first stage is to reduce a possibly large number of applicants for credit, and here, the method of expertons is used. At the second stage, a model of improved decisions is built, which reduces the risks of decision making. In this model, as it is in multi-attribute decision-making (MADM) + multi-objective decision-making (MODM), expert evaluations are presented in terms of utility, gain, and more. At the third stage, the authors construct the bi-criteria discrete intuitionistic fuzzy optimization problem for making the most profitable investment portfolio with new criterion: 1) Maximization of total ranking index of selected applicants' group and classical criterion and 2) Maximization of total profit of selected applicants' group.

The example gives the Pareto fronts obtained by both new operators, the Choquet integral and Yager OWA operators also well-known TOPSIS approach, for selecting applicants and awarding credits. For a fuzzy measure, the possibility measure defined on the expert evaluations of attributes is taken.

The comparative analysis identifies the applicants who will receive the funding sequentially based on crediting resources and their requirements. It has become apparent that the use of the new criterion has given more credibility to applicants in making optimal credit decisions in the environment of extended new operators, where the phenomenon of interaction of all attributes was also taken into account.

The purpose of this paper is to explore how online interaction with an organization impacts not only those users participating in the exchange, but also those that witness the interaction and are influenced as suggested by social cognitive theory.

This study utilized a mixed methodological approach. First, 20 interviews with social media users were conducted to explore their perceptions of observed two-way communication between organizations and other users within social media spaces. An experiment then compared the effects of interacting with an organization via social media vs simply observing organizations interacting with other users.

The findings from both studies support the assertion that publics do not have to actively participate in two-way communication with an organization for an observed exchange to have an impact. When an organization has a conversation with one follower, others see that interaction and are affected by it.

This study has implications for the practice of online communication by organizations. Practitioners must consider how interactions impact those publics who are observing rather than only the few who are engaging. In the social media realm, priority should be given to followers posting legitimate questions or concerns. Responding to positive comments can also improve perceptions of the organization but is seen as going above and beyond.

This paper introduces the concept of vicarious interaction – a phenomenon warranting further investigation by strategic communication scholars. Distinguishing between the effects of “vicarious interaction” and direct interaction could have significant consequences for the study of relational or symmetrical approaches to social media.

The purpose of this study is to examine the physical processes experienced by a particle-laden gas due to various types of collisions, different heat transfer modalities and jet axis switching. Here, attention is focused on a particle-laden gas subjected to jet axis switching while experiencing fluid flow and heat transfer.

The methodology used to model and solve these complex problems is numerical simulation treated here as a two-phase turbulent flow in which the gas and the particles keep their separate identities. For the turbulent flow model, validation was achieved by comparisons with appropriate experimental data. The considered interactions between the fluid and the particles include one-way fluid–particle interactions, two-way fluid–particle interactions and particle–particle interactions.

For the fluid flow portion of the work, emphasis was placed on the particle collection efficiency and on independent variables that affect this quantity and the trajectories of the fluid and of the particles as they traverse the space between the jet orifice and the impingement plate. The extent of the effect depended on four factors: particle size, particle density, number of particles and the velocity of the fluid flow. The major effect on the heat transferred to the impingement plate occurred when direct heat transfer between the impinging particles and the plate was taken into account.

This paper deals with issues never before dealt with in the published literature: the effect of jet axis switching on the fluid mechanics of gas-particle flows without heat transfer and the effect of jet axis switching and the presence of particles on jet impingement heat transfer. The overall focus of the work is on the impact of jet axis switching on particle-laden fluid flow and heat transfer.

Common literature review methods such as systematic review and narrative review are poorly suited to the investigation of complex management phenomena. Systematic reviews are highly driven by protocol and procedure, and are oft-criticized as reductive and poorly equipped to examine the interaction between phenomena and context, nonlinear processes, and empirical outcomes that are less predictable. Narrative reviews, on the other hand, are pluralistic and iterative and thus better suited to descriptions of the complex and unpredictable; however, they tend to lack methodological transparency, trustworthiness, and pragmatism in application. The “realist synthesis” approach to literature review can be seen as the middle-ground between these two common methods, offering both methodological rigor alongside flexibility and nuance. Realist synthesis takes an explanatory frame, with a focus on unearthing the theorized causal mechanisms at play beneath a phenomenon of interest.

Consumers are inclined to join longer queues due to social interactions in service consumptions. This purchase behavior brings in operational challenges in terms of capacity planning, which affects consumers’ demand, leading to an unstable and fluctuated arrival process. This paper aims to investigate the dynamic characteristics of the arrival process of a service system with boundedly rational consumers whose purchase decisions are influenced by the queue length under social interactions.

Consumers’ bounded rationality is modeled based on the random utility theory. Due to social interactions, the equilibrium queue length and its interaction with the expected waiting time affect consumers’ value perception. The authors first analyze the optimal service capacity decision with or without considering the influence of social interactions in a static setting. They then focus on the dynamic characteristics of the arrival process by a one-dimensional dynamical model in terms of the arrival rate.

This paper finds that the service system can behave chaotic in terms of arrival rate dynamics under social interactions. The results highlight the dynamical complexity of a simple service system due to consumers’ behavioral factors and the influence of social interactions, which may be the critical drivers leading to fluctuated and uneven demand.

The findings demonstrate that due to consumers’ limited cognitive ability and the influence of social interactions, the demand to a service system can be stable, periodic or even chaotic in terms of the arrival process. This study provides an alternative explanation to the observed demand fluctuations in various service processes under the influence of social interactions, which is important for service providers to effectively manage service capacity to achieve a stable service process and improve operational efficiency.

The purpose of this study is to examine the lump solutions of the (3 + 1)-dimensional nonlinear evolution equations by considering a (3 + 1)-dimensional generalized Kadomtsev–Petviashvili (gKP) equation and a (3 + 1)-dimensional variable-coefficient generalized B-type Kadomtsev–Petviashvili (vcgBKP) equation as examples.

Based on Hirota’s bilinear theory, a direct method is used to examine the lump solutions of these two equations.

The complete non-elastic interaction solutions between a lump and a stripe are also discussed for the equations, which show that the lump solitons are swallowed by the stripe solitons.

The dynamics of these solutions are analyzed to enrich the diversity of the dynamics of high-dimensional KP-type nonlinear wave equations.