Sensor-based entrepreneurship: A framework for developing new products and services

As the Internet of Things (IoT) begins to dominate the technology landscape, there will be new products and services that will become technically and financially feasible. Internet technologies and advancements in social interaction tools have led to an increase in the use of the crowd as a provider of business solutions. Yet, we have seen a mere fraction of the possibilities of crowdsourcing technologies. This is because most of the development, discussion, and research around crowdsourcing has focused on active-input crowdsourcing. However, the real transformative pressure will come from passive sources of data generated primarily by developing and growing sensor technologies. This next generation of crowdsourcing will be a game changer for entrepreneurial opportunities. As crowdsourcing systems proliferate, more input will be acquired from sensors, artificial intelligence, bots, and other devices. As a result of this explosion, the variety of product and service opportunities will swell as entrepreneurs become more aware of technologies merging—such as the combination of crowdsourcing, sensors, and big data into a new type of entrepreneurship: sensor-based entrepreneurship. The purpose of this research is to contribute by (1) clarifying the next generation of crowdsourcing and (2) developing and presenting a framework to help sensor-based entrepreneurs plan, develop, and map their new products and services.     

The law and ethics of big data analytics: A new role for international human rights in the search for global standards

The Economist recently declared that digital information has overtaken oil as the world’s most valuable commodity. Big data technology is inherently global and borderless, yet little international consensus exists over what standards should govern its use. One source of global standards benefitting from considerable international consensus might be used to fill the gap: international human rights law. This article considers the extent to which international human rights law operates as a legal or ethical constraint on global commercial use of big data technologies. By providing clear baseline standards that apply worldwide, human rights can help shape cultural norms—implemented as ethical practices and global policies and procedures—about what businesses should do with their information technologies. In this way, human rights could play a broad and important role in shaping business thinking about the proper handling of this increasingly valuable commodity in the modern global society.     

Implementing big data strategies: A managerial perspective

Despite considerable recent advances in big data analytics, there is substantial evidence that many organizations have failed to incorporate them effectively in their own decision-making processes. Advancing the existing understandings, this article lays out the steps necessary to implement big data strategies successfully. To this end, we first explain how the big data analytics cycle can provide useful insights into the characteristics of the environments in which many organizations operate. Next, we review some common challenges faced by many organizations in their uses of big data analytics and offer specific recommendations for mitigating them. Among these recommendations, which are rooted in the findings of strategy implementation research, we emphasize managerial responsibilities in providing continued commitment and support, the effective communication and coordination of efforts, and the development of big data knowledge and expertise. Finally, in order to help managers obtain a fundamental knowledge of big data analytics, we provide an easy-to-understand explanation of important big data algorithms and illustrate their successful applications through a number of real-life examples.     

基于大数据推进海关智慧稽查建设的框架设想

近年来,随着行为记录数据化的普及和数据价值挖掘能力的提升,大数据在工业、农业、经济、政府管理等各个领域得到充分应用并蓬勃发展。随着全国通关一体化改革和海关稽查改革的深入推进,稽查部门如何在"通得快"的前提下保障后续监管"管得严",如何以有限的人力资源承担不断增长的后续监管任务,如何以创新的理念和工作方法应对日新月异的贸易实际和监管要求,是摆在稽查人面前的重大课题和长期任务。智慧海关建设成为海关全面深化改革的重要内容。本文从当前稽查工作中存在的问题及大数据应用的现状切入,对推进智慧稽查进行必要性分析,并提出智慧稽查建设的框架设想及具体举措,其目的是通过智慧化管理,推进稽查执法的规范、便捷、高效。     

Big data

Big data is defined and distinguished from a mere moment in the “ancient quest to measure.” Specific discontinuities in the practice of information science are identified which, the paper argues, have large consequences for the social order. The infrastructure that runs on big data is described as diffusing with unprecedented speed but as being difficult to analyze and critique, and therefore the designers of society’s big data infrastructure, whether human or machines, play an unacknowledged legislative function of great consequence.     

History matters: The role of history in corporate brand strategy

This article explores how an organization can use its history to define and deliver its corporate brand strategy. We specifically look at Adidas, which, having rejected its history at one stage, rediscovered and used the philosophy and ideas of its founder to provide direction for the future, legitimate strategic choices, and enrich the corporate brand. Through analysis of material evidence and interviews with senior and long-serving employees, we conceptualize the way Adidas developed a systematic approach to the use of history in its corporate brand strategy by creating the means to uncover, remember, curate, and then embed it. Combining the lessons of the Adidas case with evidence from other cases in which history was used to refocus and revitalize corporate brands, we deliver key recommendations for managers.     

Big data: Dimensions,evolution, impacts,and challenges

Big data represents a new technology paradigm for data that are generated at high velocity and high volume, and with high variety. Big data is envisioned as a game changer capable of revolutionizing the way businesses operate in many industries. This article introduces an integrated view of big data, traces the evolution of big data over the past 20 years, and discusses data analytics essential for processing various structured and unstructured data. This article illustrates the application of data analytics using merchant review data. The impacts of big data on key business performances are then evaluated. Finally, six technical and managerial challenges are discussed.     

International strategy and business groups: A review and future research agenda

Motivated by the growth and internationalization of business groups, this paper reviews the business group literature and presents a future research agenda, highlighting their implications for international strategy. The paper identifies theoretical tensions and empirical ambiguities around three key business group features—corporate governance, internal markets, and corporate strategy—and three key outcome variables—performance, economic impact, and innovation—that have generated significant debate. We conclude with three methodological concerns relevant to these debates: generalizing business group research across countries, endogeneity in business group research, and performance measurement in business groups.     

Big web data: Challenges related to data,technology, legality,and ethics

The digital data available online is currently measured in zettabytes. These vast repositories of big web data are increasingly viewed as a strategic resource comparable in value to land, gold, and oil. This big web data can be extracted and analyzed by organizations to gain a better understanding of their internal and external environment and improve organizational performance. Because of these opportunities, automated retrieval and organization of web data (i.e., web scraping) for research projects is becoming a common practice. This article outlines the data-related, technical, legal, and ethical issues related to web scraping. Awareness of these issues can help researchers save time and resources and, most importantly, mitigate the potential risk of ethical controversies or lawsuits related to the retrieval and use of big web data.     

Intra-organizational networking for innovation-based corporate entrepreneurship

This study takes a network theoretical perspective in its examination of innovation-based corporate entrepreneurship (ICE), focusing on how project-specific ties can form for non-routine phenomena. A comparative case analysis of 246 interviews in twelve industry-leading global corporations identifies constructs associated with individual network capacity at the individual level, organizational network capacity at the organization level, and program network capacity at the ICE program level. In addition, we recognize the managerial facilitating roles of cultivator and broker. We develop propositions aimed at providing insights about the relationships among these constructs, and identify implications for managerial and ICE program responsibilities.     

Using consumer perceived ethicality as a guideline for corporate social responsibility strategy: A commentary essay

“Consumer Perceived Ethicality” presents a framework of perceived consumer ethicality as summarized from in-depth interviews with 20 citizens of the United Kingdom and Germany. The framework identifies six broad domains and 36 sub-items (6 for each domain) that serve as examples of consumer-generated “unethical corporate behaviors.” This commentary highlights the contributions, discusses the limitations and presents an alternative perspective on the study of consumer perceived ethicality.     

Addressing barriers to big data

Increasingly, big data is viewed as the most strategic resource of the 21st century, similar in importance to gold and oil. While sitting on these vast pools of data, many organizations are simply not ready to take advantage of this new strategic resource. Embracing big data requires addressing a number of barriers that fall into the domains of technology, people, and organization. A holistic, socio-technical approach is required to overcome these barriers. This article introduces the specific tactics we recommend for addressing big data barriers, which involve changes to technology infrastructure, a focus on privacy, promotion of big data and analytic skills development, and the creation of a clear organizational vision related to big data.     

Assessing the maturity of crowdventuring for corporate entrepreneurship

Corporate entrepreneurship is a process of strategic renewal and development of an existing business through the creation of new products, services, and activities, as well as new competitive postures and independent ventures. The performance of this process, which leverages the creativity and the initiative spirit of employees and managers, thus relies on the capacity of the organization to create favorable conditions for the emergence of such latent entrepreneurial potential. The development of participatory innovation models and collective intelligence offers new insights for conducting research on factors enabling corporate entrepreneurship. In particular, the internal company ‘crowd’ can be investigated with the purpose of studying the conditions under which the corporate entrepreneurship process can be successfully nurtured and conducted. In such view, this article moves from an extended review of corporate entrepreneurship and organizational innovation literature to define the concept of crowdventuring and to present an assessment tool aimed at evaluating the maturity of the crowdventuring process within an organization. The tool, which captures both individual and organization-related factors, is also used for an illustrative application into a multinational IT company. Some implications are drawn at the theory and practitioner levels.     

The alliance map: A tool for managing fear and greed in alliances

For alliances to sustain themselves, the synergies that are generated between partners must be greater than the conflicts that drive them apart. A good starting point to get to the root cause of conflicts in an alliance is to know your partner’s levels of fear and greed. In this article, I first offer a systematic way of evaluating fear and greed and then explain how to classify partners into four types (i.e., easy partner, fearful partner, greedy partner, and risky partner) and position them on a map. This map, the alliance map, highlights key areas of concern for managers dealing with each type of partner. This article offers an integrative perspective on alliance management, incorporating both relationally based and contractually based concerns that help to stabilize, develop, and strengthen the partnership in alliances.     

Ontology-based approach for identifying the credibility domain in social Big Data

ABSTRACT

The challenge of managing and extracting useful knowledge from social media data sources has attracted much attention from academics and industry. To address this challenge, semantic analysis of textual data is focused on in this paper. We propose an ontology-based approach to extract semantics of textual data and define the domain of data. In other words, we semantically analyze the social data at two levels: the entity level and the domain level. We have chosen Twitter as a social channel for the purpose of concept proof. Ontologies are used to capture domain knowledge and to enrich the semantics of tweets, by providing specific conceptual representation of entities that appear in the tweets. Case studies are used to demonstrate this approach. We experiment and evaluate our proposed approach with a public dataset collected from Twitter and from the politics domain. The ontology-based approach leverages entity extraction and concept mappings in terms of quantity and accuracy of concept identification.     

The use of social media to detect corporate fraud: A case study approach

Social media is a rapid and dynamic medium of communication that forms a crucial component of the modern business toolkit. It can be used to detect corporate fraud by tapping into collective user wisdom, also known as the wisdom of crowds. This article highlights both the potential and limitations of social media in detecting corporate fraud by examining information from traditional media and social media for a recent corporate fraud case (i.e., Empowered Products Inc.). Using text analysis of information posted on traditional media compared to social media, this article illustrates how social media provides an increased level of relevant information in a faster manner. By using wisdom of crowds in this way, social media platforms such as Twitter can improve organizational knowledge quality. We identify methods for managers to utilize social media to improve their organizational knowledge management.     

Building an active semantic data warehouse for precision dairy farming

ABSTRACT

Digitalization of agricultural technology has led to the emergence of precision dairy farming, which strives for the simultaneous improvement of productivity as well as animal well-being in dairy farming through advanced use of technology such as movement sensors and milking parlors to monitor, control, and improve dairy production processes. The data warehouse serves as the appropriate technology for effective and efficient data management, which is paramount to the success of precision dairy farming. This paper presents a joint effort between industry and academia on the experimental development of an active semantic data warehouse to support business intelligence and business analytics in precision dairy farming. The research follows an action research approach, deriving lessons for theory and practice from a set of actions taken in the course of the project. Among these actions are the development of a loading stage to facilitate data integration, the definition of an analysis view as well as the introduction of semantic OLAP patterns to facilitate analysis, and analysis rules to automate periodic analyses. The large volumes of generated sensor data in precision dairy farming required careful decision-making concerning the appropriate level of detail of the data stored in the data warehouse. Semantic technologies played a key role in rendering analysis accessible to end users.     

Political environments and business strategy: Implications for managers

Globalization leads to increased business opportunities and changing rules of the game. Different institutional settings and different organizational players continuously shape business opportunities through different public policy processes operating in various locales. Herein, we develop a framework, based on the work of Nobel laureate Douglas North, which enables managers to determine essential considerations of public policy arenas where they may operate or consider operating.     

Corporate accelerators: Building bridges between corporations and startups

Today's startups are a major source of innovation, as they employ emerging technologies to invent products and reinvent business models. Corporations that embrace an open innovation strategy increasingly look to startups as a source of external innovation. Corporate accelerators offer a potent approach to nurturing innovations from entrepreneurial ventures. However, the vast differences between corporations and startups make collaboration a challenge. Corporate accelerators need to be designed effectively to add value for startups and create innovation benefits for the company. Based on information obtained during interviews with managers and participants of corporate accelerators (n=40), managers receive a framework and strategies for designing corporate accelerators. To leverage startups’ innovation and to make corporate accelerators an effective part of a firm's overall innovation strategy, managers need to systematically and thoughtfully consider the design dimensions of proposition, process, people, and place.