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In this study, specific measures adopted by the social media platforms in China supporting personal information management are investigated via surveys targeting such platforms. The purpose of this paper is to find out how social media platforms understand information management, and from which aspects and through what specific methods they provide support for information management, which contributes to understanding the issues and strategies associated with personal information management on social media.

The dimensions and specific contents of the current platform support provided for information management are clearly defined by performing qualitative text analysis based on the content obtained from 11 platform policies published by five representative Chinese social media platforms.

How social media platforms support personal information management on creation, collection, utilisation, sharing, storage, protection, removal and modification is identified. By analysing the status quo of support provided by the Chinese social media platform, some issues are proposed for discussion. Improved normative management is required to address the coexistence of multivalued information and management risks. However, the user rights are limited because the platform policies tend to be more focused on the perspective of the social media platform. Furthermore, the platform policy contents regarding information management are incomplete, and the applicability of these policies should be improved.

This study seeks to contribute to personal information management on social media from the perspective of platform support. The perspective from the platforms as the service providers supporting information management also helps identify information management challenges and potential strategies. Furthermore, combining with the personal information management perspective, this study provides a background understanding of information management under a social collaborative framework for platforms, authorities, users and memory institutions.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-06-2020-0249

This paper aims to explore how intra-industry entrepreneurial experience and failure entrepreneurial experience affect novelty-centered business model design in a new venture. Moreover, the authors also consider whether the contingent value of entrepreneurial experience may differ according to competitive intensity.

A survey via questionnaire was conducted with 290 entrepreneurs and top managers from Chinese new ventures that provided the research data. Hierarchical regression analysis was used to test the proposed theoretical hypotheses.

The empirical results indicate that intra-industry entrepreneurial experience has an inverted U-shaped effect on novelty-centered business model design, whereas failure entrepreneurial experience has a negative effect on novelty-centered business model design. Furthermore, the authors also find that competitive intensity weakens the inverted U-shaped effect of intra-industry entrepreneurial experience on novelty-centered business model design.

This study offers new insights into the effects of intra-industry entrepreneurial experience and failure entrepreneurial experience on novelty-centered business model design and provides useful suggestions for new ventures to promote business model design.

The purpose of this paper is to explore how boundary-spanning demand-side search (BSDSS) fuels radical technological innovations as well as how innovation appropriability moderates this relationship. In particular, based on Teece’s (1986) argument regarding the appropriability of innovation, the authors divide factors to influence innovation appropriability into two types: external institution related and internal capability related.

This study employs a survey methodology. Specifically, the authors collected a sample composed of 150 high-tech manufacturing Chinese firms.

Results show that BSDSS has a positive effect on radical technological innovations. Further, the authors find that dysfunctional competition and political ties negatively moderate the main effect, whereas firms’ legal and IPRs protection capabilities positively moderate the main effect.

One major limitation is that the findings are based on data derived from Chinese firms, which may limit the generalization of the findings.

The findings suggest that firms competing Chinese market, both Chinese and foreign firms, should actively leverage BSDSS to boost radical technological innovations. Chinese firms should pay attention to the negative roles of appropriability hazards originating from external institutional environment. Foreign firms in Chinese market should be cautious on potential dysfunctional competition from local competitors, such as imitation and intelligence property violation, and enhance appropriability through building internal capabilities, such as legal and IPRs capabilities.

The study highlights the crucial roles of BSDSS in radical technological innovations, as well as the moderating roles of innovation appropriability. These results provide new insights into the drivers of radical technological innovations.

Social network theory emphasizes that, to acquire needed resources, new ventures should cultivate industrial connections (intra-industry ties and extra-industry ties). In the meanwhile human capital theory focuses on entrepreneurs' employment experience, especially with respect to its breadth and depth. This study examines ties and experience to determine whether, in combination, they have positive or negative effects on resource acquisition in new ventures.

This study tests research hypotheses using questionnaire survey data with a sample of entrepreneurs in new ventures. Multivariate regression analysis is used to analyze the data.

Combining intra-industry ties and experience breadth or extra-industry ties and experience depth affects resource acquisition positively, whereas combining intra-industry ties and experience depth or extra-industry ties and experience breadth affects resource acquisition negatively.

Conclusions may be constrained by the limited sample size and source. Rather, the impact of the study lies in its identification of the effects of interaction between network ties and entrepreneurs' experience on resource acquisition. Future research can explore the effects of interaction between other dimensions of network ties and a range of entrepreneurs' experience characteristics on resource acquisition.

Entrepreneurs are provided with effective strategies to make use of their ventures' network ties and their personal accumulated experience in the process of obtaining resources.

The findings enrich the entrepreneurship literature by providing a more nuanced understanding of how and when new ventures' industry ties and entrepreneurs' employment experience together influence resource acquisition.

The purpose of this paper is to propose a multi-objective differential evolution algorithm named as MOMR-DE to resolve multicast routing problem. In mobile ad hoc network (MANET), multicast routing is a non-deterministic polynomial -complete problem that deals with the various objectives and constraints. Quality of service (QoS) in the multicast routing problem mainly depends on cost, delay, jitter and bandwidth. So the cost, delay, jitter and bandwidth are always considered as multi-objective for designing multicast routing protocols. However, mobile node battery energy is finite and the network lifetime depends on node battery energy. If the battery power consumption is high in any one of the nodes, the chances of network’s life reduction due to path breaks are also more. On the other hand, node’s battery energy had to be consumed to guarantee high-level QoS in multicast routing to transmit correct data anywhere and at any time. Hence, the network lifetime should be considered as one objective of the multi-objective in the multicast routing problem.

Recently, many metaheuristic algorithms formulate the multicast routing problem as a single-objective problem, although it obviously is a multi-objective optimization problem. In the MOMR-DE, the network lifetime, cost, delay, jitter and bandwidth are considered as five objectives. Furthermore, three QoS constraints which are maximum allowed delay, maximum allowed jitter and minimum requested bandwidth are included. In addition, we modify the crossover and mutation operators to build the shortest-path multicast tree to maximize network lifetime and bandwidth, minimize cost, delay and jitter.

Two sets of experiments are conducted and compared with other algorithms for these problems. The simulation results show that our proposed method is capable of achieving faster convergence and is more preferable for multicast routing in MANET.

In MANET, most metaheuristic algorithms formulate the multicast routing problem as a single-objective problem. However, this paper proposes a multi-objective differential evolution algorithm to resolve multicast routing problem, and the proposed algorithm is capable of achieving faster convergence and more preferable for multicast routing.

This paper aims to investigate how top management service commitment (TSC) affects two dimensions of new product development (NPD), speed and product innovativeness, and to examine how dysfunctional competition moderates the effects in emerging economies.

Data were collected from 151 high-tech manufacturing firms in China. In one firm, two different top managers were surveyed to reduce the common method variance. The authors used the seemingly unrelated regression approach to test the hypotheses.

First, TSC negatively influences product innovativeness, an effect that dysfunctional competition attenuates. Second, despite not being significantly positive as hypothesized, the direct effect of TSC on NPD speed remains positive when dysfunctional competition is high rather than low. Third, the findings reveal that product innovativeness increases firm performance, but NPD speed shows no similar effect.

First, top managers should pay attention to the synergistic effect between industrial services and product businesses. Second, manufacturing firms in developing countries need to implement servitization when facing unlawful competitive behaviors.

In literature, the effect of industrial services on NPD is unclear. The present study enriches literature by connecting servitization with NPD and by focusing on the importance of top managers to the implementation of servitization. In addition, the authors extend the servitization literature to emerging economies and thereby provide significant insights into this context.

Multi-objective is a complex problem that appears in real life while these objectives are conflicting. The swarm intelligence algorithm is often used to solve such multi-objective problems. Due to its strong search ability and convergence ability, particle swarm optimization algorithm is proposed, and the multi-objective particle swarm optimization algorithm is used to solve multi-objective optimization problems. However, the particles of particle swarm optimization algorithm are easy to fall into local optimization because of their fast convergence. Uneven distribution and poor diversity are the two key drawbacks of the Pareto front of multi-objective particle swarm optimization algorithm. Therefore, this paper aims to propose an improved multi-objective particle swarm optimization algorithm using adaptive Cauchy mutation and improved crowding distance.

In this paper, the proposed algorithm uses adaptive Cauchy mutation and improved crowding distance to perturb the particles in the population in a dynamic way in order to help the particles trapped in the local optimization jump out of it which improves the convergence performance consequently.

In order to solve the problems of uneven distribution and poor diversity in the Pareto front of multi-objective particle swarm optimization algorithm, this paper uses adaptive Cauchy mutation and improved crowding distance to help the particles trapped in the local optimization jump out of the local optimization. Experimental results show that the proposed algorithm has obvious advantages in convergence performance for nine benchmark functions compared with other multi-objective optimization algorithms.

In order to help the particles trapped in the local optimization jump out of the local optimization which improves the convergence performance consequently, this paper proposes an improved multi-objective particle swarm optimization algorithm using adaptive Cauchy mutation and improved crowding distance.

The deployment of blockchain technology (BT) throughout the supply chain is usually led by large firms that dominate the supply chain. Leading firms can encourage other resource-constrained partners to get on board by providing technical and financial support. However, due to the uncertain consequences of relying on leading firms, these partners may still be reluctant to adopt BT. Drawing on resource dependence theory, this study aims to investigate whether and when supply chain alignment can be used as a dependency coping strategy to increase the willingness of resource-constrained partners to adopt BT. Moreover, it aims to examine the motivators for supply chain alignment.

This study adopted a survey research design and collected data from 364 small and medium-sized enterprises in China.

Supply chain alignment positively affects BT adoption. The effect of supply chain alignment on BT adoption is contingent on guanxi (a Chinese cultural tradition of interpersonal connections that facilitate a mutual exchange of favors). Relative advantage, technology complexity, organizational readiness and cost are motivators for supply chain alignment. Supply chain alignment mediates the effect of cost, technology complexity and relative advantage on BT adoption.

This research addresses the problem of resource dependency in the context of BT adoption which has been overlooked by previous research. Moreover, this paper enriches the BT literature by identifying supply chain alignment as an important channel for technology–organization–environment factors to influence BT adoption.

Path planning is an important part of UAV mission planning. The main purpose of this paper is to overcome the shortcomings of the standard particle swarm optimization (PSO) such as easy to fall into the local optimum, so that the improved PSO applied to the UAV path planning can enable the UAV to plan a better quality path.

Firstly, the adaptation function is formulated by comprehensively considering the performance constraints of the flight target as well as the UAV itself. Secondly, the standard PSO is improved, and the improved particle swarm optimization with multi-strategy fusion (MFIPSO) is proposed. The method introduces class sigmoid inertia weight, adaptively adjusts the learning factors and at the same time incorporates K-means clustering ideas and introduces the Cauchy perturbation factor. Finally, MFIPSO is applied to UAV path planning.

Simulation experiments are conducted in simple and complex scenarios, respectively, and the quality of the path is measured by the fitness value and straight line rate, and the experimental results show that MFIPSO enables the UAV to plan a path with better quality.

Aiming at the standard PSO is prone to problems such as premature convergence, MFIPSO is proposed, which introduces class sigmoid inertia weight and adaptively adjusts the learning factor, balancing the global search ability and local convergence ability of the algorithm. The idea of K-means clustering algorithm is also incorporated to reduce the complexity of the algorithm while maintaining the diversity of particle swarm. In addition, the Cauchy perturbation is used to avoid the algorithm from falling into local optimum. Finally, the adaptability function is formulated by comprehensively considering the performance constraints of the flight target as well as the UAV itself, which improves the accuracy of the evaluation model.

This chapter explores collective information processing among black-hat hackers during their crises events. The chapter presents a preliminary study on one of Tor-based darknet market forums, during the shutdowns of two cryptomarkets. Content and network analysis of forum conversations showed that black-hat users mostly engaged with rational information processing and were adept at reaching collective solutions by sharing security advices, new market information, and alternative routes for economic activities. At the same time, the study also found that anti-social and distrustful interactions were aggravated during the marketplace shutdowns. Communication network analysis showed that not all members were affected by the crisis events, alluding to a fragmented network structure of black-hat markets. The chapter concludes that, while darknet forums may constitute resilient, solution-oriented users, market crises potentially make the community vulnerable by engendering internal distrust.