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The purpose of this paper is to provide an overview of the available insights regarding interorganizational network evolution. The research questions being addressed are as follows: What is the nature of interorganizational network evolution? And what causes interorganizational network evolution? The review hence focuses on the nature of interorganizational network evolution (at the ego-network level and whole-network level) and the causes of interorganizational network evolution (firm-related causes and environmental causes). This paper highlights relevant gaps in the existing literature on interorganizational network evolution while outlining a research agenda by identifying key research questions and issues requiring further scholarly contributions to stimulate research in this field.

An extensive review of scholarly peer-reviewed English language journal articles was conducted in the subject areas of economics, sociology, business and management (including entrepreneurship) while excluding articles in the domain areas of computer science that dealt with computer networks and the health field that addressed neural networks to obtain articles on interorganizational network evolution for the period 1970-2019. Various journal databases such as EBSCO, ScienceDirect (Elsevier), Emerald, JSTOR and ABI/INFORM and Ebook Central on ProQuest were used to extract relevant articles using specific keywords.

To better understand this phenomenon of interorganizational network evolution, there is a need for future studies to focus on the less researched areas such as the “nature of evolution” of EINR1, EINR3 and EINR4 and the “causes of evolution” of FRC3, FRC5, FRC7 and FRC8. Further, over the years, in comparison to the evolution of interorganizational network relationships (EINR), fewer works have considered the evolution of overall interorganizational network structure (EINS). The research studies on environmental causes (EC) have been less in number in comparison to firm related causes (FRC), and this could be an area for further research. Also, studies on interorganizational network evolution have not examined the impact of FRC1 on EINR 3 and only a few studies have examined the impact of FRC1 on EINR1 and EINR4. Less attention has been given to the impact of FRC2 on EINR1, EINR3, EINR4 and EINS. Additionally, the impact of FRC3 on EINR1, EINR3 and EINS needs more in-depth examination. The impact of FRC4 on EINR4; FRC5 on EINR1, EINR2 and EINR4; FRC6 on EINR1 and EINS; and FRC7 and FRC8 on all forms of “nature of interorganizational network evolution” requires more research work. Finally, the impact of EC on EINR3 and EINR4 is also a less researched stream in the literature needing more scholarly contribution to better understand the phenomenon under consideration in this study. Some of the least explored theoretical lenses and relevant questions that can be addressed using these lenses to advance research on network evolution have also been discussed.

The main contribution of this paper is that it provides a comprehensive literature review, collating the dispersed knowledge on interorganizational network evolution – nature of evolution and causes of evolution, identifying areas that require further research attention for the development of this domain.

This paper aims to conceptualize corporate reference management as a strategic signaling activity in business networks. While research has extensively outlined how firms develop and maintain social capital through business-to-business (B2B) relationships, less is known about how they signal their participation in business networks to develop this social capital. Therefore, this paper conceptualizes B2B references, in particular corporate online references (COR), as a tool through which firms “borrow” attractiveness from their business network. Through the lens of structural social capital theory, COR is shown to capture advantages related to interconnectedness between firms.

The paper reports on a two-step qualitative and quantitative research design. First, the authors undertook a qualitative study that reports on the COR practices of senior business managers. A quantitative study then uses social network analysis (SNA) to audit a digital business network comprising 1,098 firms in a metropolitan area of the UK, referencing to each other through their corporate websites using COR.

The analyses find that COR practices contribute to building structural social capital in networks through strategic signaling. Firms do so by managing B2B references to craft strategic signals, using five steps: requesting, granting, curating, coding and decoding references. While the existing literature on business marketing portrays reference management as a routine and operational management practice, this investigation conceptualizes reference management, in particular COR, as a strategic activity.

To the best of the authors’ knowledge, this is the first study to use SNA to represent B2B references in the form of COR as a network, which overlaps with (but is not entirely identical to) the business network. Further, the study re-conceptualizes reference management as a strategic signaling activity that leverages the firm’s participation in business networks to build structural social capital by borrowing attractiveness of prestigious business partners that leverages existing structural social capital. Finally, the paper coins and conceptualizes COR as an exemplar of referencing management and offers propositions for further research.

This paper aims to analyze the digital servitization (DS) process with the paradox theory lens. The purpose is to catch how intra- and inter-organizational tensions generate complexity along a DS journey to find “where” and “when” industrial companies can intervene to face them.

The methodology is a qualitative, in-depth single case study, which longitudinally explores the DS strategy of a manufacturer along with three phases of development: design, implementation and assessment.

The analysis reveals six intra- and inter-organizational tensions in DS and provides insights on tensions’ origin and how to face them. A theoretical framework on DS complexity and an empirical framework on tensions’ origin is produced.

The research combines service and organizational paradox literature. Together with a longitudinal methodology, it results in a spatial and temporal analysis of DS, from which theoretical and managerial implications are drawn.

Privacy and security of personal data is the prime concern in any communication. Security algorithms play a crucial role in privacy preserving and are used extensively. Therefore, these algorithms need to be effective as well as energy-efficient. Advanced Encryption Standards (AES) is one of the efficient security algorithms. The principal purpose of this research is to design Energy efficient implementation of AES, as it is one of the important aspects for a step toward green computing.

This paper presents a low voltage complementary metal oxide semiconductor (LVCMOS) based energy efficient architecture for AES encryption algorithm on Field Programmable Gate Array (FPGA) platform. The experiments are performed for five different FPGAs at different input/output standards of LVCMOS. Experiments are performed separately at two frequencies (default and 1.6 GHz).

The comparative study of total on-chip power consumption for different frequency suggested that LVCMOS12 performed best for all the FPGAs. Also, Kintex-7 Low Voltage was found to be the best performing FPGA. At 1.6 GHz frequency, the authors observed 55% less on-chip power consumption when switched from Artix-7 with LVCMOS33 (maximum power consuming combination) to Kintex-7 Low Voltage with LVCMOS12. Mathematical models are developed for the proposed design.

The green implementation of AES algorithm based on LVCMOS standards has not been explored yet by researchers. The energy efficient implementation of AES will certainly be beneficial for society as it will consume less power and dissipate lesser heat to environment.

Menstruation is a part of the female reproductive cycle that begins with adolescence. Menstruation is a natural change; it relates to several malpractices and misconceptions that may contribute to adverse health outcomes.

The authors have searched relevant papers using Google Scholar and PubMed to write this mini review.

During menstruation, poor hygiene maintenance can cause serious illness, which includes the urinary tract and reproductive tract infection. Menstruation management is a hygienic system, and it is essential for females because poor hygiene maintenance during menstruation can cause some infections and numerous sexually transmitted diseases. There are a few nanotechnology-based products that have come into the market to offer some relief to females during their periods.

This mini review will help researchers to design innovative female hygiene products that can relieve the discomfort caused to women during their reproductive age.

This paper aims to explore the succession intentions of daughters in family businesses in Sri Lanka by shedding light on the motives behind their willingness to succeed in the family business.

A qualitative approach using semi-structured interviews was used to explore the factors that may influence succession intentions among a group of seven prospective successor-daughters.

Findings showed that while a majority of the daughters sampled have positive succession intentions, there were a few who were either undecided or unwilling. Interestingly, what motivated some daughters to be willing successors was also considered demotivating for others. Daughters perceived succession in family businesses to be impacted by both personal and family background, traditional gender-role expectations and other socio-cultural factors.

Findings from this study provide key insights into gender-related issues with regard to succession in family businesses.

There are two objectives in this study. First, testing the relationship between person-organization fit (P-O fit) and person-job fit (P-J fit) on turnover intentions. Second, examining the moderating role of kinship on the relationship between P-O fit and P-J fit on turnover intentions.

This research was conducted at private universities in Lampung with a total of 282 respondents. The analytical method used to test the research hypothesis was moderated regression analysis (MRA)

There are five proposed hypotheses, and all of them are supported. The findings of this study reveal that P-O fit and P-J fit are predictors that are negatively related to turnover intentions. Furthermore, kinship moderates the relationship between P-O fit and P-J fit on turnover intentions.

This study adds to the literature on turnover intentions in universities and underscores some important advances and contributions in developing a human resource management theory related to social capital. Based on the findings of this study, organizations are expected to pay more attention to P-O fit, P-J fit and kinship to reduce the level of turnover intentions. Employers are expected to choose people who match the organization's values and work and create interpersonal relationships between them to reduce turnover intentions, which mean the findings extend the theory of attraction-selection-attrition (ASA), social exchange and social capital. These findings provide theoretical and pragmatic insights for human resource management practitioners and relevant stakeholders.

Practically, the concepts of P-O fit and P-J fit are important to be considered by the leadership because creating a suitable environment for employees will trigger positive behaviors. Leaders must find the right people for the environment and the right environment for the employees. Furthermore, this study has implications for a relational approach to overcoming turnover intentions in the workplace. The relational approach is in the form of kinship. Organizations that encourage opportunities for social interaction among members can reduce employee turnover and tend to create positive social capital.

In social practice, kinship connects people in an organization. The existence of kinship in an organization helps academicians get relational and emotional support from coworkers and superiors so that they will feel a family relationship that may not be found in other organizations, which eventually reduces turnover intentions.

The originality of this study lies in investigating the moderating role of kinship on the relationship between P-O fit and turnover intentions. Kinship in this study is different from research in general. “Kinship” here is based on a kinship perspective because of the peculiarities of Asian culture, especially in Indonesia, namely kinship without blood relations and marriage.

Despite the undeniable need for innovation in hospital building design, the literature highlights the disconnect between research and practice as the primary knowledge gap hindering such innovation. This study shows this focus to be an oversimplification, for the complex processes that trigger design innovations and impact their ecosystems need to be examined from a systemic perspective. This paper aims to conceptualise the evolution of hospital building design and identify and explain the main factors triggering design and construction innovations over the past 100 years.

A novel hybrid research design to mixed grounded theory (MGT) methodology, with Charmaz constructivist paradigm, is developed as a new systematic way of constructing and interpreting the concepts and interconnections among them that triggered design innovation.

This study represents a taxonomy of concepts and an explanatory innovation framework, containing 617 interconnections between 146 factors classified across 14 categories. The complex innovation ecosystem comprises multi-faceted processes between heterogenous factors with both individual and collective impacts on design innovations.

This research highlights the main components of the innovation ecosystem and its overall behaviour in this field, and the most influential and interrelated contextual factors, as well as representing and mapping generative interactions that support innovation processes. This knowledge can help hospital researchers, designers, policymakers and stakeholders adopt a multidimensional outlook to analyse the strength of all influential factors, introduce potential novel ways of collaborating, conceptualise an organisational approach, re-formulate research questions through transdisciplinary methods and introduce interdisciplinary courses and programs in architecture schools, thereby contributing to timely design innovation.

Due to environmental and health awareness, there are a number of green startups increasing day by day and consumers want to use organic products over conventional products. The green enterprise faces unique challenges and opportunities in attracting the right investors, organization growth and their performance. The purpose of this study is to better understand the relationship between green entrepreneurship (GE) and different leadership styles (LS) and their association with organizational growth (OG).

This paper proposes a methodology based on multiple independent variables and one dependent variable i.e. multiple regression analysis. A numerical analysis of the Indian organization is presented to demonstrate the use of the proposed method.

The findings indicate that different LSs (charismatic, transformational, visionary and servant leadership) feature an influence on entrepreneurial activity. The result of the study also found that GE and LS have a positive effect on OG.

This research will help the industry reflect on the style of leadership and attempt to introduce a new style of leadership that supports and is suitable for the green organization’s growth.

The study identified diverse LSs that specifically plays an important role in green entrepreneurship organizations. Additionally, investigate the relationship between OG and GE.

In this paper, a Quality of Service-sensitive customer behavior model graph (QoS-CBMG) is proposed for use in service quality adaptation in e-commerce systems. Success in achieving customer satisfaction and maximizing profit in e-commerce is highly dependent on the QoS provided. However, providing high-level QoS for all customers in all Web sessions is often deemed costly and inefficient. Therefore, a QoS-sensitive model for formulating QoS-aware offers to customers is required. The paper aims to respond to this necessity.

Process mining is adopted as the knowledge extraction technique for developing a QoS-CBMG. If it is assumed that user navigation on a website is a process, then clickstreams during one user’s navigations can be considered process steps.

The application of both QoS-CBMG (the new model) and CBMG (the classic version) to the same real data set demonstrated that the proposed method outperforms CBMG due to its reduction of average absolute error in the measurement scale. This finding also verifies the assumption that customer behavior is sensitive to the level of QoS.

From a theoretical viewpoint, the obtained QoS-CBMG facilitates the adaption in e-commerce systems, which leads to conduct the user to the desired behavior by tuning QoS levels in different Web sessions in a dynamic manner. This implication is due to the fact that QoS-CBMG can predict the upcoming clickstream of the customer at different QoS levels.

Using the proposed model for the adaptation of service quality in e-commerce websites not only results in the efficient management of the provider’s resources but also encourages customer purchases from the website and increases profitability. It is noteworthy that with the advent of cloud computing, e-commerce websites are enabled to provide various levels of QoS for their customers by supplying their basic services (e.g. infrastructure, platform) through cloud platforms.

According to the best of our knowledge, no previous model has taken into account the QoS dimension for customer behavior modeling. The main contribution of this paper is to propose a CBMG that is sensitive to the QoS provided to customers during their navigation to formulate QoS-aware offers to them.