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The pandemic has accelerated the use of virtual learning spaces and led to rethinking post-pandemic course delivery. However, it remains unclear whether students’ online engagement in e-servicescapes can influence attachment to a place, i.e. a physical servicescape. This study conducted an exploratory study to inform place attachment and actor engagement literature in an online service context.

Quantitative survey design was used and 98 usable responses were collected from undergraduate and postgraduate students at a major New Zealand university during the COVID-19 pandemic in 2020. The questionnaire consisted of 23 items relating to three dimensions of online student engagement and 19 items referring to six dimensions of campus attachment.

Results of the exploratory study indicate that classmate community in online lectures, referring to student–student interactions, can positively influence five of the dimensions of campus attachment, including place identity, place dependence, affective attachment, social bonding and place memory, even though students are physically not on campus. However, it cannot influence place expectation. Moreover, instructor community (student–instructor interaction) and learning engagement (student–content interaction) in online lectures have insignificant impact on campus attachment.

This study emphasises the social dimension when interacting in e-servicescapes. Person-based interactions are more influential than content-based interactions for student engagement. Educational service providers should integrate the e-servicescape and the physical servicescape by encouraging more student–student interactions to contribute to service ecosystem well-being at the micro, meso and macro levels.

This study indicates that customer-to-customer interaction serves to integrate customer engagement across the digital and physical realms for process-based services like education.

This paper aims to obtain optimal specialization mode and level for complex network or system structures. In the e-commerce system, this paper studies the changes of each transaction subject in the process of ecological structure based on the income level of each transaction subject.

This paper aims to research the change of transaction efficiency evolution process of intermediaries. With the improvement of transaction efficiency, intermediaries interact with other transaction subjects at given modes in e-commerce systems. This paper analyzes the relationship between the factors of production and trade and explains the quantitative relationship between them in the form of mathematical modeling. An evolution simulation framework is established to elaborate the simulation process and method of crowd network in e-commerce ecosystem and then sets up the simulation experiment.

During simulation processes, the changes of data are observed and analyzed to obtain the optimal evolution paths and specialization modes. Furthermore, this paper provides solid supports for the research of the quantitative analysis of ecological structure evolutions.

Evolution simulation of ecological structure is first proposed in the topic of crowd network. It is with the aid of the concept of ecology, the theory and method, simulation of complex network structure and system structure. This paper analyses and researches the evolution process of optimal specialization modes and intelligent level of crowd networks with transaction efficiency changing. The ecological structure optimal evolution paths can be obtained by trend of simulations.

The paper examines the effect of relative leader-member exchange (LMX) on follower's in-role performance, citizenship behaviour and cynicism via relational identification. Moreover, LMXSC (LMXSC) moderates the direct and mediating relationship.

Based on multi-level (individual and group level) model, dyadic data were collected from 298 employees working under 47 group managers in the banking sector in Pakistan.

The multi-level moderated mediation model tested in Mplus and HLM software showed the full support for direct, mediating and moderating hypothesized relationships; however, the moderated mediation hypothesis was partially supported. It reveals that relative LMX standing of followers predicted in-role performance, organizational citizenship behaviour at an individual level (OCB-individual) and cynicism. Relational identification with the leader mediated the relationship. Moreover, at high LMXSC, the relationship between relative LMX and relational identification and consequently the outcomes were stronger.

LMX has widely been studied at dyadic level, despite the suggested high and low LMX quality relationships that exist in a workgroup. This study not only investigates the role of relative LMX on employee performance through relational identification but also reports that subjective evaluation of LMXSC plays a major role in promoting employee performance.

The purpose of this paper is to examine the stream of China‐related POM research over 25 years (1980‐2005) to determine trends in quantity, topical coverage, research contribution, and data sources.

From 31 POM‐relevant journals, 144 articles were identified and classified across the four parameters. The data was also segregated into three time periods to facilitate comparison and analysis. Descriptive statistics were then generated to identify trends.

China‐related POM research has grown rapidly in the past 25 years. The topical coverage has expanded from an initial focus on strategy and policy issues to include quality, technology, and logistics management topics. The focus of articles has matured from a base of descriptive articles to include a growing emphasis on novel applications of POM techniques and new frameworks. Finally, the data sources tapped for the growing body of China‐related POM research has trended toward case studies and survey data.

This paper is one of the first to examine a body of literature related to one of the world's fastest growing, large economies. Based upon the findings, several areas worthy of future research related to operational risk, environmental issues, supply chain management, cultural issues, product and process development, technology transfer, service operations, and research methodology are identified.

The aim of this review is to present together the studies on textile-based moisture sensors developed using innovative technologies in recent years.

The integration levels of the sensors studied with the textile materials are changing. Some research teams have used a combination of printing and textile technologies to produce sensors, while a group of researchers have used traditional technologies such as weaving and embroidery. Others have taken advantage of new technologies such as electro-spinning, polymerization and other techniques. In this way, they tried to combine the good working efficiency of the sensors and the flexibility of the textile. All these approaches are presented in this article.

The presentation of the latest technologies used to develop textile sensors together will give researchers an idea about new studies that can be done on highly sensitive and efficient textile-based moisture sensor systems.

In this paper humidity sensors have been explained in terms of measuring principle as capacitive and resistive. Then, studies conducted in the last 20 years on the textile-based humidity sensors have been presented in detail. This is a comprehensive review study that presents the latest developments together in this area for researchers.

This paper aims to establish a photoacoustic detection system for SO₂ using UV-LED and testify its feasibility for sensitive measurement. The work in this paper can avoid potential crossover interference in infrared (IR) range and also balance the capability and cost of feasible excitation for photoacoustic detection system.

In this experimental work, a cantilever-enhanced–based photoacoustic SO₂ detection system using an ultraviolet (UV) LED light source with a light power of 4 mW as the excitation was established.

A feasible photoacoustic detection system for SO₂ using UV-LED was established. Experimental results demonstrate that the detection limit of the system can reach the level of 0.667 ppm, which can serve as a reference for the application of PAS in insulation fault diagnosis.

This work investigated the potential of using ultraviolet photoacoustic spectroscopy to detect trace SO₂, which provided an ideal replacement of infrared-laser-based detection system. In this paper, a photoacoustic detection system using LED with a low light power was established. Low light power requirement can expand the options of light sources accordingly. In this paper, the absorption characteristics of SO₂ in the presented detection system and ultraviolet range were studied. And the detection limit of the presented system was given. Both of which can provide reference to SO₂ detection in ambient SF₆.

This study investigated what are the effective leadership styles and practices that boost employees’ work outcomes during the COVID-19 pandemic from the perspective of facilities management professionals (FMPs).

Three predominant leadership styles (transformational, transactional contingent reward and disaster management) were operationalized into 38 leadership practices (X variables) and 8 work outcomes (Y variables). The explanatory sequential research design was adopted. Online questionnaire survey was first conducted on FMPs who managed facilities during the critical periods of COVID-19 pandemic in Singapore. In-depth interviews were then carried out with subject matter experts to elaborate on the quantitative findings.

During the pandemic, FMPs were significantly stressed at work, but also experienced significant job satisfaction and satisfaction with their leaders/supervisors. Statistical results revealed a range of leadership practices that are significantly correlated with FMPs’ work outcomes. One leadership practice is critical as it affects 4 of the 8 FMPs’ work outcomes - frequently acknowledging employees’ good performance during the pandemic.

The study explored 3 leadership styles. There are other styles like laissez faire and servant leadership that might also affect work outcomes.

Based on the findings, suggestions were provided to organizations that employ FMPs on how to improve their work outcomes during a crisis such as a pandemic.

The novelty is the discovery that in the context of a global disaster such as the COVID-19 pandemic, the most relevant leadership styles to boost employees’ work outcomes are transactional contingent reward and disaster management leadership. The study adds to knowledge by showing that not one leadership style is superior – all 3 styles are complementary, but distinct, forms of leadership that need to work in tandem to boost FMPs’ work outcomes during a crisis such as a pandemic.

The purpose of this study is to reveal the research trends in guest experiences of service robots in the hospitality industry.

In this study, a review was carried out on the Web of Science (WoS) database with the assistance of bibliometric analysis techniques. Cluster analysis was also employed for this to group important data to determine the relationships and to visualize the areas in which the studies are concentrated. The thematic content analysis method was used to reveal on which customer experiences and on which methods the focuses were.

On the subject of experiences of service robots, the greatest number of publications was in 2021. In terms of country, China has come to the fore in the distribution of publications. As a result of thematic content analysis, it was determined that the leading factor was the main dimension of emotional experience. In terms of sub-dimensions, social interactions attracted more attention. Most of the studies discussed were not based on any theory. Apart from these, the Technology Acceptance Model (TAM), the Service Quality Model (SERVQUAL) and Perceived Value Theory (PVT) were featured more prominently among other studies.

In this study, only the WoS database was reviewed. In future studies, it would be possible to make contextual comparisons by scanning other databases. In addition to quantitative research designs, social dimensions may be examined in depth following qualitative research methods. Thus, various comparisons can be made on the subject with mixed-method research designs. Experimental research designs can also be applied to where customers have experienced human-robot interactions (HRIs).

In the hospitality industry, it is critical to uncover every dimension of guests' robot acceptance. This study, which presents the current situation on this basis, guides future projections for the development of guest experiences regarding service robots in the hospitality industry.

The purpose of this study is to provide an optimal joint strategy of multi-period pricing and sales effort for a retailer with a logit choice demand in an integrated channel.

Customer demand is characterized by a logit choice model, it varies over time and is influenced by price and sales effort. The multi-period decision model for the retailer is constructed using a discrete-time dynamic programming method to determine the optimal price and sales effort in each period.

When the inventory level does not exceed a certain threshold, decreasing price and increasing sales effort over time or as inventory level increases are the optimal strategies. However, once the inventory level exceeds the threshold, the optimal strategy is to maintain both price and sales effort constant as the inventory level changes or to increase price and decrease sales effort over time. Additionally, the greater the influence of sales effort on demand or the higher the arrival rate of customers, the higher the optimal price and the greater the optimal sales effort level.

This study contributes to the existing research on dynamic pricing and sales effort in integrated channels by incorporating a logit choice model. Furthermore, it provides valuable management insights for retailers operating in an integrated channel to make pricing and sales effort decisions based on inventory level and time period.

With the pressing need for environmental conservation, regulatory authorities are actively looking for measures to prevent global warming. In the proposed inventory model for deteriorating items, demand is dependent on the selling price and green technology investment (or carbon reduction investment) for the green product (GP), as well as an investment in price-based preservation technology to slow down the pace of deterioration. Furthermore, emission reduction measures are put in place to reduce carbon emissions (CEs).

The current study executed a thorough literature review to determine how to improve supply chain management performance. Furthermore, assumptions are made to fill research gaps, and a mathematical model is created to address the problem mentioned above. To collect the data, the available inventory literature was reviewed. Additionally, numerical illustrations and sensitivity analyses are presented to emphasize the model's robustness.

The research indicates that it is more prudent to invest in preservation technology based on its selling price in order to control the rate of deterioration. In addition, the proposed model facilitates the management of deteriorated waste through salvage trading and emission reduction investment. The findings validate sustainable practices with a 20.86% increase in profit and a 21.4% decrease in CEs, thereby signifying environmental and economic benefits.

The proposed model enhances understanding of the impact of investments in price-based preservation technology and carbon reduction efforts on consumer perceptions of their intention to purchase GPs. Moreover, the study provides valuable insights by identifying important recommendations for policymakers regarding areas that require further investigation. This guideline can help identify both current and unexplored gaps, enabling researchers to direct future research efforts toward producing new products.