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The authors combine options logic with transaction cost economics to explain why firms maintain, divest or buy out their international joint ventures (IJVs). It is suggested that a decline in environmental risk and higher partner-related risk makes a firm more likely to acquire an IJV but less likely to divest an IJV. The study also investigates how IJV age moderates the effects of a decline in environmental risk and higher partner-related risk.

The study employs competing risks analyses to examine the drivers of different termination outcomes using a dataset consisting of 459 IJVs in the People's Republic of China, of which 110 were either acquired or divested by their foreign parent.

The study finds that changes in environmental risk and partner-related risk affect how firms terminate their IJVs in the People's Republic of China. Specifically, the authors find that the effect of exogenous and endogenous risk are more pronounced for the acquisition of IJVs than for the divestment of IJVs.

The study contributes to international marketing research by complementing options logic with transaction cost economics to provide a theoretical explanation of the different ways in which IJVs in the People's Republic of China are terminated.

IJVs continue to be an important yet often unstable method to serve international markets. Our findings increase managers' awareness of the effect that two important sources of risk may have on the termination of IJVs in the People's Republic of China.

The study provides novel insights into the effect that changes in exogenous and endogenous risk have on a firm's choice of termination mode drawing on novel data on the different ways in which foreign firms have terminated their IJVs in the Peoples' Republic of China.

Parents whose children have undergone an autism assessment often describe the process as extremely stressful. This affects how parents engage with services post-diagnosis, meaning less likelihood of using subsequent service support despite struggling to cope. Since parents already report many barriers to accessing services, e.g. long waiting lists, lack of co-ordination and limited resources (Sapiets et al. 2023), negative experiences during assessment should not pose another potential barrier to engagement. This study aimed to address how families’ needs can be better met during the assessment process.

In this qualitative study, the author conducted semi-structured interviews with 11 parents whose child had undergone an autism assessment in the last five years. Thematic analysis determined key themes.

The six themes were: clarity and communication, access to support and resources, aftercare, recognition of parent concerns, personalisation of the assessment process and concerns around the use of personal protective equipment/online assessments. These themes led to criteria to assess the quality of autism assessment services in line with parent perspectives.

These parent-informed criteria could facilitate the consideration of parents’ views into service evaluations of autism assessment services across the UK.

Previous research indicates that the autism assessment experience is often extremely stressful and overwhelming for families (Crane et al., 2016). Despite this, guidance to improve autism services rarely prioritises the opinions and experiences of service-users and their families. The criteria presented here were derived from themes identified by interviewing parents on their experiences of the autism assessment process, thus shifting the focus onto service-users.

Accreditation is a growing phenomenon and has begun to permeate scientific studies, most of which are quantitative, since they focus on the process of accreditation and its positive or negative effects. Only a few studies have analyzed this phenomenon from the perspective of institutional theory. As there is no consensus regarding the performance of accreditation agencies, the purpose of this paper is to identify their institutional role in the global orientation of the organizational practices, values and decisions of business schools (BS).

A systematic literature review enabled us to identify scientific publications since 2002 that have used institutional theory when discussing BS accreditation agencies. An in-depth reading of these articles led us to identify the most frequent, similar and contrasting perspectives. Seven aspects were analyzed in each article: theme, research assumption, theoretical basis, method, research context, result and suggestions for future studies.

The findings suggest a certain duality in the role of these agencies. If, on the one hand, they are responsible for providing a quality seal, on the other hand, they promote legitimacy in the field by institutionalizing international rules.

By investigating the performance of these agencies as global institutional bodies, the authors extrapolated the traditional discussion on the dynamic of interaction between local actors who both influence the field and are influenced by it, a recurring theme in institutional theory.

In time and accurate detection of cancer can save the life of the person affected. According to the World Health Organization (WHO), breast cancer occupies the most frequent incidence among all the cancers whereas breast cancer takes fifth place in the case of mortality numbers. Out of many image processing techniques, certain works have focused on convolutional neural networks (CNNs) for processing these images. However, deep learning models are to be explored well.

In this work, multivariate statistics-based kernel principal component analysis (KPCA) is used for essential features. KPCA is simultaneously helpful for denoising the data. These features are processed through a heterogeneous ensemble model that consists of three base models. The base models comprise recurrent neural network (RNN), long short-term memory (LSTM) and gated recurrent unit (GRU). The outcomes of these base learners are fed to fuzzy adaptive resonance theory mapping (ARTMAP) model for decision making as the nodes are added to the F_2ˆa layer if the winning criteria are fulfilled that makes the ARTMAP model more robust.

The proposed model is verified using breast histopathology image dataset publicly available at Kaggle. The model provides 99.36% training accuracy and 98.72% validation accuracy. The proposed model utilizes data processing in all aspects, i.e. image denoising to reduce the data redundancy, training by ensemble learning to provide higher results than that of single models. The final classification by a fuzzy ARTMAP model that controls the number of nodes depending upon the performance makes robust accurate classification.

Research in the field of medical applications is an ongoing method. More advanced algorithms are being developed for better classification. Still, the scope is there to design the models in terms of better performance, practicability and cost efficiency in the future. Also, the ensemble models may be chosen with different combinations and characteristics. Only signal instead of images may be verified for this proposed model. Experimental analysis shows the improved performance of the proposed model. This method needs to be verified using practical models. Also, the practical implementation will be carried out for its real-time performance and cost efficiency.

The proposed model is utilized for denoising and to reduce the data redundancy so that the feature selection is done using KPCA. Training and classification are performed using heterogeneous ensemble model designed using RNN, LSTM and GRU as base classifiers to provide higher results than that of single models. Use of adaptive fuzzy mapping model makes the final classification accurate. The effectiveness of combining these methods to a single model is analyzed in this work.

The purpose of this paper is to identify the structural similarities between stricto sensu post-graduation programs in management through the formation of clusters, with the strategy tripod as a backdrop (Peng, 2002; Peng et al., 2009).

The co-plot method was used as a tool. It was chosen because it simultaneously enables joint and individual observations of comments and variables.

The results showed the formation of clusters among the programs, identifying a series of similarities between their components. The age and number of lines of research of the programs were the determining variables to identify isomorphism among the clusters.

The main limitation of the study lies in the updating of information at the source of the data collection. All the data were collected from the Sucupira Platform for CAPES Triennial Evaluation of 2013. However, when the authors accessed the portals of the programs, the authors found that some data were outdated. Nevertheless, the authors limited themselves to using official data. Therefore, even if the authors found divergences or inconsistencies regarding the published information, the authors decided to use the official data made available by CAPES on the Sucupira Platform for the period in question.

Understanding that the results through the approaches of the industry-based view, resource-based view and institution-based view were insufficient for a thorough analysis, it is demonstrated in isolation that none of these succeeds in explaining the organizational context that permeates Brazilian stricto sensu post-graduation institutions. In this organizational field, the three views are not at the same theoretical level. The institutional view overlaps with the strategic competitive views. Therefore, the study contributes to reorganizing the strategy tripod and the proposed articulation between the arrangement of theory, method and field research.

This paper aims to conceptualize the digital behavior of startups and investigate the emerging behaviors about digital strategies of the Italian startup firms enrolled in the Startup Act policy initiative. Digital technologies were divided into intra- and inter-organizational digital infrastructures, and this categorization offers startups the opportunity to identify a set of enabling technologies that could be used to improve their digital strategies.

An empirical analysis has been conducted to investigate the degree of adoption of digital intra- and inter-organizational digital infrastructures in the entire population of 6,178 Italian firms listed in the Register of Innovative Startups.

The paper proposes a taxonomy bringing together four startup behaviors for adopting digital technologies: digital follower, technical influencer, social influencer and digital leader. From the perspective of policy makers, considering the financial efforts that public authorities are supporting in the last decade, implications are mainly concerned with policy measures aimed both to reinforce the overall adoption of digital technologies and to develop a balanced adoption of intra- and inter-organizational digital infrastructures.

Measures addressed to support female and foreign entrepreneurship could be useful to support a more dynamic and well-balanced cultural and racial contamination, thus improving the adoption of digital tools.