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Cloud computing gives several on-demand infrastructural services by dynamically pooling heterogeneous resources to cater to users’ applications. The task scheduling needs to be done optimally to achieve proficient results in a cloud computing environment. While satisfying the user’s requirements in a cloud environment, scheduling has been proven an NP-hard problem. Therefore, it leaves scope to develop new allocation models for the problem. The aim of the study is to develop load balancing method to maximize the resource utilization in cloud environment.

In this paper, the parallelized task allocation with load balancing (PTAL) hybrid heuristic is proposed for jobs coming from various users. These jobs are allocated on the resources one by one in a parallelized manner as they arrive in the cloud system. The novel algorithm works in three phases: parallelization, task allocation and task reallocation. The proposed model is designed for efficient task allocation, reallocation of resources and adequate load balancing to achieve better quality of service (QoS) results.

The acquired empirical results show that PTAL performs better than other scheduling strategies under various cases for different QoS parameters under study.

The outcome has been examined for the real data set to evaluate it with different state-of-the-art heuristics having comparable objective parameters.

According to the Ministry of Tourism and Creative Economy, there are 7,275 indigenous tourism enterprises in Indonesia. However, only 0.5% of these are certified as a sustainable tourism village. One of them is the Karangrejo village in Borobudur, Indonesia. This village is able to sustain their enterprise, which is a unique and rare context. This study aims to address this gap by examining the sense of place value created from the collaboration between actors, mapping the actors and their resources who have crucial roles in indigenous tourism enterprise, and examining the relations between actors, mapping the characteristics and efforts made by the indigenous tourism enterprise. The novelty of this research is the unique context that it takes place, and the use of comprehensive theoretical perspectives combining architecture, sociological social psychology and marketing/business theories in tourism context, which is uncommon for research in this area.

Participants in this study were 17 individuals, comprising Village Chief, accompanying state-owned enterprises, tourists, owners of micro, small and medium enterprises, village economic center manager and village-owned enterprises manager. Data were collected from interviews and field recordings using purposive sampling technique. The study design was a case study. The data were coded in two steps: first cycle and second cycle coding. Member checking with research participants was conducted to ensure data credibility.

This study revealed several novel findings. First, sense of place value was not merely perceived as material and nonmaterial components, but also as networks between actors that were involved in creating such components within (value) exchange framework. Second, the actors involved in the exchange were provider actor, external supporter actor, internal supporter actor, collaborator actor and consumer actor. Each of these actors owned one or a combination of material and nonmaterial values that are exchangeable. Mapping of the actors involved was discussed using a combined perspective of consumer-centric and balanced network. Third, exchange relations that occurred between actors could be balanced or imbalanced, depending on the amount of resource owned by each actor. Nonetheless, imbalanced relations because of discrepancies in the value contributions could still have positive impact because it was motivated by the intention to help others. Fourth, this study identified the importance of having characteristics as resource integrator/gatherer for indigenous tourism enterprise (provider actor) to ensure the economic sustainability of their business.

This study was conducted during the COVID-19 pandemic, where governments imposed strict travel restrictions. Consequently, data from tourists were limited in particular, the lack of perspectives from international tourists. During the data collection, the government were still limiting international travelers to visit the country, hence only domestic tourists were able to visit. The perspectives of international tourists would have added valuable data. Because of pandemic, the data collection process was initially conducted online, which was then followed by in-person data collection. Online data collection is common in research; however, in-person data collection would have been more preferred, where possible, so that the researchers could directly observe the situation in context. Future research could be conducted after the pandemic ends. Furthermore, findings of this research asserted the importance of actors’ motives, situations, quality of the values and relational attributes, but had not discussed these in detail, especially from the perspective of each actor. Future research could address this limitation.

Enhancing material and nonmaterial sense of place value would involve multiple actors. Therefore, mapping of the resources owned by these actors as well as their roles is critical. To create sense of place value, synergy between actors is essential and could not be achieved by a single actor. Every actor is influenced by motives and circumstances when interacting with the other actor. Awareness of such motives and circumstances where the exchange takes place is necessary, to ensure that the cultivated relationship aligns with the goals and expectations. As exchange relations could be balanced or imbalanced, every actor also needs to be aware of their position and continuously evaluate it to avoid being constantly in a powerless position. Indigenous tourism enterprise could not singlehandedly provide every resource needed. Therefore, developing a character as a gatherer/resource integrator becomes crucial to gain access to all necessary resources. Currently, there are no tools available for identifying actors, resources and relational attributes. This could be a potential avenue for academics in this area. Further, the government should identify the best practice from the successful indigenous tourism enterprises, not only giving recognition awards or certifications to these enterprises.

Findings from this study have several contributions; among others, it discussed sense of place value of indigenous tourism enterprise more comprehensively, as the essential actors who exchange resources were identified. This study also underlined positive power imbalance, which had been generally seen as a negative dynamic. Moreover, this study highlighted that indigenous people, despite living by communal value (non-transactional) in their daily lives, would need to engage in transactional relations and develop resource integrator characteristics to maintain tourism enterprise. Indigenous people have often been seen from their communal side, while their transactional (non-communal) side has been rarely seen.

Knowledge management (KM) capability plays an important role in the promotion of firm performance in the knowledge economy era. However, empirical evidence on how KM capability affects firm performance is still limited. The study therefore aims to explore the impacts of internal and external KM capabilities on firm performance via the parallel mediation of efficiency-centered and novelty-centered business model innovations (BMIs).

The authors empirically analyzed a survey data of 295 Chinese innovative enterprises by applying partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA).

According to the results of PLS-SEM, the relationship between internal KM capability and firm performance is not significant, instead it is fully mediated by efficiency-centered and novelty-centered BMIs. External KM capability can directly and positively affect firm performance, while the relationship is also partially mediated by BMIs. Furthermore, the authors recognized the antecedent conditions for high-level and low-level firm performance by fsQCA analysis, which substantiate the above findings.

It not only enriches the literature that links KM and innovation management but also contributes to the new theoretical perspective on firm sustainable growth. Methodologically, it combines symmetric and asymmetric analyses together. Additionally, it provides some insights for managers to understand how KM capability drives firm performance through BMI.

Based on the perspective of knowledge management capability, this paper aims to reveal the internal mechanism of the digital empowerment of mobile social platforms to improve the operational performance of Chinese traditional retail enterprises. Such improvements have crucial theoretical value and practical implications for Chinese traditional retail enterprises to achieve transformation and sustainable development.

This study applied the typical analysis method, selected China’s leading mobile social platform, WeChat, as a typical case, and observed and analyzed the public data of the traditional retail industry and social platforms and interviews with relevant enterprises. On this basis, this study used the inductive and deductive methods of qualitative research to conduct an in-depth analysis of the mechanism by which WeChat’s digital empowerment improves the operational performance of Chinese traditional retail enterprises. It also discussed the critical role and path knowledge management capabilities play in this mechanism.

This research demonstrated that mobile social platforms empower Chinese traditional retail enterprises to build diversified digital channels, enhance the knowledge acquisition capability of enterprises and thus improve their performance; empower Chinese traditional retail enterprises to build digital community networks, enhance the knowledge diffusion capability of enterprises and thus improve their performance; and empower Chinese traditional retail enterprises to integrate online and offline businesses, enhance the knowledge integration capability of enterprises and thus improve their performance.

This study clarifies the internal mechanism of how the digital empowerment of mobile social platforms can improve the performance of Chinese traditional retail enterprises. This mechanism implies that knowledge management capabilities (knowledge acquisition, diffusion and integration capability) are the underlying logic for Chinese traditional retail enterprises to achieve higher performance levels. This has important practical implications for managers of Chinese traditional retail enterprises to leverage the digital infrastructure of mobile social platforms to achieve the sustainable development of enterprises.

This study provides an in-depth analysis of how the traditional retail industry uses digital social platforms to improve operational performance from the perspective of knowledge management capabilities, which can further promote the theoretical research and practical development of digitalization and knowledge management. At the same time, this study explored the research on the operational performance of Chinese traditional retail enterprises from the perspective of knowledge management capabilities and expanded the research on knowledge management in related fields. The authors have initially sorted out the impact of knowledge management capabilities on the operational performance of Chinese traditional retail enterprises in the digital era. This will help better understand the role and function of knowledge management in strategic transformation and expand the application of knowledge management theory.

This paper examines household and community characteristics that influence the entry of rural households into non-farm entrepreneurship and investigates the various factors that influence the market exit of non-farm enterprises (NFEs).

The authors use data from three rounds (2011/12, 2013/14 and 2015/16) of the World Bank’s Living Standards Measurement Study – Integrated Surveys on Agriculture (LSMS-ISA). The authors employ panel logit and multilevel logit models to examine the probability of opening one or more enterprises and the enterprise exit rates.

Results indicate that the likelihood of starting a NFE is positively associated with primary education attainment, access to credit, experiencing idiosyncratic shocks and availability of formal financial institutions. Age, higher education attainment and rising farm input prices constrain entry into non-farm entrepreneurship. The enterprise exit rate is negatively associated with small-town residence, wealth, access to tar/gravel roads and cellphone communication.

Policymakers and administrators should strive to address the challenges that communities face in transportation, communication and financial services. Policies aimed at stabilizing prices and increasing access to mobile communication, primary education and road infrastructure could help expand the rural non-farm sector.

Previous studies primarily examined the determinants of participation in NFEs at a given time using cross-sectional data. The current study uses panel data to study the dynamics of NFE ownership by investigating households’ decisions to enter into or exit from the sector.

The peer review history for this article is available at https://publons.com/publon/10.1108/IJSE-09-2022-0611

The purpose of this study is to explore the knowledge network-based intellectual capital of corporate universities and its co-evolution process with knowledge management activities.

An exploratory and multiple case study was conducted, investigating three Chinese corporate universities. Grounded theory was used for data analysis.

This paper finds that the intellectual capital of corporate universities comprises teacher network capital, knowledge process capital and knowledge ba. The steering wheel model is established through the synergistic interaction and promotion among these three types of intellectual capital. The interaction between intellectual capital and the knowledge network within corporate universities constructs the intellectual capital network, which plays the roles of coordinator, knowledge gatekeeper and innovation bridge. The intellectual capital of corporate universities is characterized by sequential inertia. Moreover, the intellectual capital and intellectual capital network are aligned with knowledge management activities at each stage of corporate university development, interacting and following the principles of ladder evolution.

A significant contribution of this paper lies in applying the concept of intellectual capital within the fourth-stage ecosystem to a broader range of knowledge networks. By exploring the dynamics and network of intellectual capital in corporate universities, especially the role of intellectual capital networks and the synergy between intellectual capital and knowledge management activities, this study enriches the existing research on knowledge management and intellectual capital of corporate universities. Furthermore, it advances the development of knowledge management promotion in corporate universities from a new perspective of intellectual capital.

Within the context of an open innovation business environment, the frequent interaction and coordination activities among heterogeneous partners have a significant impact on enterprises' business model. Nevertheless, fewer empirical research has been made to explore how to match external partners and update organizational dynamic capabilities at an ecosystem level. Therefore, this paper attempts not only to investigate the direct impact of partner match on different business model innovation (BMI) themes (efficiency-centered BMI and novelty-centered BMI) but only to shed light on the pivotal mediating role of interfirm dynamic capabilities.

This paper utilized the methodology of Partial Least Squares Structural Equation Modeling (PLS-SEM) to investigate the impact of diverse partner selection criteria and interfirm dynamic capabilities on two distinctive themes of BMI. More than 20 industry clusters with multiple industries were selected as representatives of the creative ecosystem, predominantly from the Yangtze River Delta region. Valid data were collected from 254 managers by both online questionnaires and offline interviews.

The findings of the study show that different partner match criteria have distinct direct impacts on BMI themes. Partner complementary and partner synergy, deriving from the “task-related criteria”, are significantly correlated with both EBMI and NBMI. Conversely, partner compatibility, deriving from “Partnering-related Criteria”, shows a positive correlation with EBMI but not NBMI. Furthermore, compare the indirect effect on EBMI, the paper’ results demonstrate interfirm dynamic capabilities as mediator can more maximize external benefits to promote NBMI.

The study findings effectively help enterprises implement different BMI themes. From a management perspective, whether pursuing EBMI or NBMI, enterprises should consciously seek partners who can provide complementary support or share mutual goals across diverse industries. This strategic approach can significantly enhance the opportunities for sustainable and innovative business development. Furthermore, to successfully accomplish NBMI, enterprises must cultivate interfirm dynamic capabilities encompassing a comprehensive range of cross-organizational innovation capacities, such as bolstering organizational learning capability, establishing interactive network platforms to enhance coordination capabilities and engaging in integrative activities to foster a collective mindset.

This paper contributes to the match theory by introducing three critical matching criteria, enabling enterprises to discern partners based on diverse organizational characteristics. Additionally, this paper broadens the scope of the dynamic capability literature by adopting a network perspective to strengthen interaction and relationship mechanisms. The authors primarily elucidate the concept of interfirm dynamic capabilities as a formative higher-order model formed by three sub-capabilities (absorptive capacity, coordination capability and collective mind). Finally, this paper combines matching theory with dynamic capacity theory to the field of BMI, which adds depth and complexity to the existing ecosystem innovation research.

This paper aims to explore how a shared service centre (SSC) is mobilised in a power-dominant context of a Chinese state-owned enterprise (SOE). Specifically, it examines the mobilisation of SSC within this multi-divisional SOE, the role and dynamics of actors involved and the influence of changes in the integrated information system (IIS) during the mobilisation process.

The study follows a qualitative case study methodology. The authors draw on actor-network theory to examine the network and translation processes constructed in mobilising SSC in the chosen SOE. The data sources of this study were collected through semi-structured interviews, observations and documentary reviews.

The mobilisation of SSC is not a linear process but rather a “spiral” interplay through continuous interactions and compromises between human and non-human actors. Power gave the core actor as an orchestrator legitimacy and formality to reduce resistance and obstruction in translation for the mobilisation of SSC. The changes in IIS appear to facilitate the interaction between the heterogeneous actors.

This case study contributes towards understanding the mobilisation of SSC in a power-dominant context by highlighting the impact of changes in IIS and the details of the mobilisation of SSC in terms of the role played by both the individual actors and the technology.

This study provides a broader understanding of the interactions of the heterogeneous actors for mobilising SSC in a power-dominant context. More importantly, the study inspires future research into examining how SSC practices unfold and how the changes in IIS influence the mobilisation of SSC.

As the saying goes, “food is heaven of people” the development of agriculture is not only related to the quality of human life but also profoundly affects the efficiency of economic operation. However, under the background of rapid economic and technological development, China’s agricultural modernization process is very slow and incompatible with the development trend of economic modernization. Therefore, it is particularly necessary to innovate the traditional agricultural development model to break through the bottlenecks encountered in the transformation process of agricultural modernization. The proposal of the agricultural logistics ecosphere is to solve the problems of poor industrial linkage, low technical level and backward operation mode in the development process of traditional agriculture, and it is an important starting point for agricultural supply-side structural reform. This study aims to answer three questions in three aspects, namely, what is the agricultural logistics ecosphere, analyzes the general composition of the agricultural logistics ecosphere and how the subjects of the agricultural logistics ecosphere cooperate. It also puts forward suggestions for the coordinated development of the agricultural logistics ecosphere under the leadership of Taoxin. Also, it inspires the transformation of the agricultural development model in other regions and countries.

This study adopts a case study and a qualitative analysis method to collate the first-hand and secondary data obtained from the interview and form a tertiary coding. It explores the mechanism of coordinated development of the agricultural logistics ecosphere from four levels: goal synergy, resource synergy, ability synergy and benefit synergy.

First, the formation of the agricultural logistics ecosphere will not be achieved overnight, as operational management matures and ecosphere experiences the germination-development-mature evolution process. Second, target synergy is the foundation and premise for the formation of agricultural logistics ecosphere: to attract external resources with Taoxin characteristic core resources, to attract external resources to achieve synergy, to provide a guarantee for the realization of the maximum value of the agricultural logistics ecosphere and then to realize the interest synergy of internal and external subjects. Third, driving agricultural products upward in the “10 + 1” model: it is the core resource of the agricultural logistics ecosphere led by Taoxin and attracts external subjects to gather with core resources to further improve the value of the ecosphere. The improvement of the value of the ecosphere can broaden the ecosphere network. This is both an important construction of the ecosphere, and it is also the path choice of the coordinated development of the agricultural logistics ecosphere.

This study has a very important practical value and theoretical significance. In practical terms, the integration of “primary, secondary and tertiary industries” is helpful to foster new momentum for the development of agriculture and rural areas and promote the general framework of the agricultural logistics economy, the analysis of the general mechanism and extension of the transition of the new economy.

For a better understanding of the preferences and differences of young consumers in emerging wine markets, this study aims to propose a clustering method to segment the super-new generation wine consumers based on their sensitivity to wine brand, origin and price and then conduct user profiles for segmented consumer groups from the perspectives of demographic attributes, eating habits and wine sensory attribute preferences.

We first proposed a consumer clustering perspective based on their sensitivity to wine brand, origin and price and then conducted an adaptive density peak and label propagation layer-by-layer (ADPLP) clustering algorithm to segment consumers, which improved the issues of wrong centers' selection and inaccurate classification of remaining sample points for traditional DPC (DPeak clustering algorithm). Then, we built a consumer profile system from the perspectives of demographic attributes, eating habits and wine sensory attribute preferences for segmented consumer groups.

In this study, 10 typical public datasets and 6 basic test algorithms are used to evaluate the proposed method, and the results showed that the ADPLP algorithm was optimal or suboptimal on 10 datasets with accuracy above 0.78. The average improvement in accuracy over the base DPC algorithm is 0.184. As an outcome of the wine consumer profiles, sensitive consumers prefer wines with medium prices of 100–400 CNY and more personalized brands and origins, while casual consumers are fond of popular brands, popular origins and low prices within 50 CNY. The wine sensory attributes preferred by super-new generation consumers are red, semi-dry, semi-sweet, still, fresh tasting, fruity, floral and low acid.

Young Chinese consumers are the main driver of wine consumption in the future. This paper provides a tool for decision-makers and marketers to identify the preferences of young consumers quickly which is meaningful and helpful for wine marketing.

In this study, the ADPLP algorithm was introduced for the first time. Subsequently, the user profile label system was constructed for segmented consumers to highlight their characteristics and demand partiality from three aspects: demographic characteristics, consumers' eating habits and consumers' preferences for wine attributes. Moreover, the ADPLP algorithm can be considered for user profiles on other alcoholic products.