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Driven by artificial intelligence technology, chatbots have begun to play an important customer service role in the online retail environment. This study aims to explore how conversational styles improve the interaction experience between consumers and chatbots in different social crowding environments, and the moderating role of product categories is considered.

Three studies are conducted to understand the influences of conversational styles, social crowding and product categories on consumer acceptance, assessed using situational experiments and questions.

In a low social crowding environment, consumers prefer chatbots with a social-oriented (vs. task-oriented) conversational style, while in a high social crowding environment, consumers prefer a task-oriented (vs. social-oriented) conversational style, and warmth and competence mediate these effects. The moderating effect of product categories is supported.

This study expands the application of the stereotype content model to improve the interaction experience level between consumers and chatbots in online retail. The findings can provide managerial suggestions for retailers to select a chatbot's conversational style and promote a more continuous interaction between consumers and chatbots.

This paper aims to propose a spoke-type fractional-slot concentrated windings (FSCW) PM machine for EVs driving system to improve torque density. To further improve electromagnetic performance, the multi-objective optimization design is processed based on response surface (RS) model and simulated annealing cuckoo search (SA-CS) algorithm.

The spoke-type FSCW PM machine is designed and optimized to meet the requirement of EVs driving system. First, a spoke-type FSCW PM machine is designed and some of key parameters are obtained based on equivalent magnetic circuit (EMC) method. Then, the RS model and modified SA-CS algorithm are proposed to obtain higher torque, lower torque ripple and higher efficiency.

After verification by finite element method for no-load and load performance, the optimal machine has higher torque density, lower torque ripple and higher efficiency compared with initial machine. Finally, a 20 kW prototype is manufactured and tested to verify the validity of the proposed optimization design method.

This paper designs a high torque density spoke-type FSCW PM machine, which is superior for EVs driving system. Meanwhile, a novel modified SA-CS algorithm is applied to the field of electrical machine multi-objective optimal design.

The purpose of this study is to investigate the mechanism of shared leadership on team members’ innovative behavior.

Paired questionnaires were collected from 89 scientific research teams in the Beijing-Tianjin-Hebei region of China at two-time points with a time lag of 4 months. Then multilevel structural equation model method was applied to analyze the multiple mediating effects.

This study finds that: the form of shared leadership in scientific research teams of universities; shared leadership has a positive impact on team members’ innovative behavior; there are multiple mediations in the relationship including synchronization and sequence of creative self-efficacy and achievement motivation.

According to the “stimulus-organism-response” model, this paper has constructed a multi-level theoretical model that shared leadership influences individual innovation behavior and reveals the “black box” from the perspective of psychological mechanism. It not only verifies that “can-do” shapes “willing to do” but also makes up for the gap of an empirical test of the effectiveness of shared leadership in scientific research teams of universities. Besides, the formal scale of shared leadership in the Chinese situation is revised, which can provide a reference for future empirical research on shared leadership. The research conclusions provide new ideas for improving the management of scientific research teams in universities.

This empirical study uses the stimulus-organism-response (S-O-R) framework to examine the interrelationships amongst hotel websites and app quality, flow, telepresence, user engagement and booking intentions.

Data from two different datasets, including users of hotel websites (N sample 1 = 257) and hotel mobile apps (N sample 2 = 292), were collected. Partial least squares (PLS-SEM) was used to test the research model.

Findings indicate that the quality of the hotel websites and mobile apps positively influences telepresence, flow and engagement. Telepresence and flow positively affect the users booking intentions for both the samples. However, for hotel website users, engagement has a no-significant effect on booking intentions. Finally, telepresence has a non-significant effect on flow, and flow has a non-significant effect on engagement for both the users of hotel websites and mobile apps.

This study uses two datasets to understand how hotel booking channel (hotel website and mobile app) quality leads to booking intentions by tapping into telepresence, flow and engagement.

The aim of this study is to provide a holistic analysis of all possible maritime business logistics processes related to import and export shipments in a fuzzy environment through a case study of a maritime logistics company based on the as-is and to-be models within business process management (BPM).

The analyses considered the following perspectives: (i) in the stage of the process identification, the definition of the problem was carried out; (ii) in the stage of the process discovery, ocean department was divided into ocean export/import operation departments; ocean export/import operation were divided into freight collect/prepaid operation processes; ocean export/import logistics activity groups were broken down into sub-activities for freight collect/prepaid operation; the logistics activity groups and their sub-activities were defined; each sub-activity as either operation or documentation process group was classified; the durations of sub-activities were evaluated by decision-makers (DMs) as fuzzy sets (FSs); the monthly total jobs activities were estimated by DMs as FSs; the applied to monthly jobs activities of total shipments were estimated by DMs as FSs; the durations of each sub-activities were aggregated; the duration of the logistics activity groups and the sub-activities for per job were calculated; the cumulative workload of logistics activity groups and sub-activities were calculated; the duration of sub-activities for per job as operation or documentation departments were calculated, (iii) in the stage of the process analysis, cumulative ocean export/import workload as operation or documentation for freight collect/prepaid were calculated; duration of activity groups and sub-activities for per job as operation or documentation were calculated; cumulative workload activity groups and sub-activities as operation or documentation were calculated, (iv) in the stage of the process redesign, cumulative workload, process cycle time as operation and documentation group and required labor force were calculated; the process cycle time of the theoretical, the as-is model and the to-be model were calculated: (i) the theoretical minimum process cycle time without resource were calculated by the critical path method (CPM), (ii) the process cycle time of the as-is model perspective with the 1 person resource constraint and (iii) the process cycle time of the to-be model perspective with the 2-person resource constraint were calculated by the resource constrained project scheduling problem (RCPSP) method.

The methodology for analyzing the ocean department operation process was successfully implemented in a real-life case study. It is observed that the results of the to-be model can be applicable for the company. The BPM-proposed methodology is applicable for the maritime logistics industry in the present study; however, it can be applied to other companies in maritime logistics as well as other industries.

This study contributes to research using BPM methodology in maritime logistics. This is the first study the logistics process analyses were carried out in terms of including all operation processes for a company. All processes were analyzed by using BPM methodology in maritime logistics. This study demonstrated the application of the BPM as-is and to-be models to maritime logistics. The as-is and the to-be models of the BPM methodology were applied in maritime logistics.

This methodology applied in this study can enable organizations operating in the time-urgent maritime logistics sector to manage their logistics processes more efficiently, increase customer satisfaction, reduce the risks of customer loss due to poor operational performance and increase profits in the long term. Through the use of these methodologies utilizing FSs, the CPM and the RCPSP methods, this study is expected to make contributions to the BPM literature and provide original insights into the field. Furthermore, this study will undertake a comprehensive analysis of maritime logistics with respect to BPM to deliver noteworthy contributions to the maritime logistics literature and provide original perspectives into the field.

Kazakhstan has taken considerable steps to improve the incoming mobility of international students; however, despite these measures, the number of international students studying in Kazakhstan is still very low. Research indicates that in order to attract and retain international students it is necessary to build a thorough understanding of their experiences in the host country. The purpose of this paper is to gain a better understanding of international students’ experiences in Kazakhstan by exploring how they exercise their human agency while adapting to the academic and socio-cultural life in Kazakhstan.

The author used a purposeful criterion sampling to select six international students from Afghanistan, Great Britain, Russia, South Korea, Ukraine and the USA studying at Kazakhstani universities to participate in this research. The primary data collection was semi-structured in-depth interviews. Supportive methods included a demographic questionnaire and a researcher journal.

The study revealed that the international students actively employed their human agency to negotiate their studying and to adapt to their life in Kazakhstan. They did not simply adjust to the host environment, but also learned from it and attempted to transform it according to their circumstances and goals.

The implication is that Kazakhstani universities and any other higher education institutions that seek to increase the number of their international students should consider not only how to attract these students, but also how to adapt their institution’s practices and regulations to create an inclusive learning environment for their diverse student population. It is also very important for higher education institutions to provide international students with the necessary conditions to exercise their human agency because as it was revealed by this study, international students’ human agency is a very powerful mechanism helping them live and learn comfortably in their host country.

Taking into consideration the reviewed previous research, this was the first attempt to use Albert Bandura’s social cognitive theory for the purpose of building an understanding about how international students exercise their agency while adapting to the academic and socio-cultural life in the host country. The social cognitive theory allows investigating international students as active and self-sufficient agents of their own adaptation process who can and do change themselves, and have the potential to navigate and alter their host environment to achieve their own goals. This study encourages researchers and practitioners to think about international students outside the dimension of internationalization as a means of improving country’s economic capital.

The purpose of this paper is to analyse the screen printing liquid waste polluted soil physical, chemical and biological characteristics, with the unpolluted soil, and to analyse the application of some types of biochar towards the growth of mustard greens plants and the concentration of heavy metals Fe, Cr on the screen printing liquid waste polluted soil.

This research was conducted in a green house by using fully randomized design, split plot design pattern, with three replications. The main plot is the type of biochar, and the subplot is the dosage of biochar. The biochar consists of four types (B1 = chicken manure biochar, B2 = coconut shell biochar, B3 = rice hulls biochar and B4 = mahogany woods biochar). The dosage of biochar consists of four levels (D0 = control, D1 = 5 ton/hectare, D2 = 10 ton/hectare and D3 = 15 ton/hectare). The tested variable is being analysed by using analysis of variance (ANOVA).

The screen printing liquid waste polluted soil physical, chemical and biological characteristics analysis shows that the soil pH is neutral, a low C organic, a low N total, a high P, CEC and base saturation, while the texture is soft. The analysis results of rice hulls biochar physical, chemical and biological characteristics are quantitatively better in comparison with chicken manure biochar, coconut shell biochar and mahogany biochar. The quantitative application of rice hulls biochar15 ton/hectare dosage can increase the growth of mustard greens, and also, it recovers the soil characteristics by heavy metals total rate of 14.11 ppm Fe and 0.95 ppm Cr from the plant, while 209.05 ppm Fe and 4.12 ppm Cr were found in the soil.

This is one of few studies the biochar to screen printing liquid waste polluted lands. Currently, numerous kinds of chemical substances have been applied in a form of fertilizer and pesticide into the soil. Other activities like transporting the crop residues, and the contamination of irrigation water that is caused by screen printing liquid waste, have also affected the soil. It becomes degraded where the soil becomes compact and losses its nutrients, and it is containing heavy metals material that is toxic for plants. Biochar is applied into the polluted soil to improve the soil, which is hard to decompose and is long-lasting in the soil. These days, both the raw or ready food products are exposed to the heavy metals with a large and concerning number, especially in big cities which most of the soil is polluted.

The paper aims to review recent developments for analysis of deteriorating stiffened panels subjected to static and explosive forces.

The first part reviews numerical procedures developed for stiffened panels subjected to explosive forces. The structural idealization, the theoretical basis, and the merits of these methods are discussed. The second part reviews the probabilistic procedures developed for analysis of deteriorating stiffened panels. The third part reviews recent work developed in several finite element modelling philosophies for analysis of stiffened panels. The influence of various parameters affecting the structural performance, such as geometric and material imperfections, corrosion, residual stresses, etc. is discussed. The fourth part reviews hybrid procedures developed to provide approximate solutions for the designers. Numerical procedure is presented using combination of energy formulations and mathematical programming techniques to model the interaction between the box girder components.

Localized damage largely affects the performance of stiffened panels and must be accounted for in the design phase. Little emphasis was given in the published literature to developing simplified analytical models that can be used in practice to compute the residual strength of the stiffened panels under these types of loadings. Furthermore, analytical expressions are required to compute the reduction in the stiffness induced due to the structural or material defects. These expressions must be dependent on the type of damage. It must be noted that some of this damages is localized in nature and must be accounted for by using specialized functions to assess the structural defect accurately. Research work is required in this direction.

The paper provides useful resource material for the engineers in practice regarding recent techniques developed to assess damaged stiffened panels subject to static and explosive loadings. The paper reviews work developed over the past 20 years that can be used as a baseline for future developments.

Very limited literature dealt with the ultimate strength of damaged stiffened structure under static and explosive forces. No guidelines are available in current design codes to assess the damage in predicting the strength of deteriorating stiffened panels.