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Executives and managers are in need of research that will elevate the pursuit of successful innovations from a gut‐level, intuition‐driven art to something more closely resembling a science based on repeatable processes with predictable results. this paper aims to address this issue.

Using Intel Corporation's proprietary data the author conducted a number of experiments designed to test disruption theory's impact on predictive accuracy.

After training in the rules of disruptive theory MBA students were up to 50 percent more accurate in correctly identifying the survivors and failures, constructing, collectively, a portfolio with a survival rate of up to 15 percent.

Intel's New Business Initiatives (NBI) division provided data on a portfolio of 48 new business ventures that were granted seed financing, a sum that ranged between $250,000 and $2 million, between approximately 1995 and 2005.

Disruption theory can deliver statistically significant and practically material improvement in the ability to innovate successfully. Disruption theory can be used to shape existing innovation ideas in ways consistent with the theory's prescriptions.

As of now the disruption theory of innovation is the only one with evidence to support the assertion that it can improve predictive accuracy.

Artisan entrepreneurship is a new and emerging area of entrepreneurship study. This means literature on the topic is still relatively sparse, so more attention is required on addressing issues of content, context and method. This chapter focuses on future research trajectories on artisan entrepreneurship that will help to refine the field. This includes analyzing the way artisan entrepreneurship can be researched from an organization, team and individual level. Specific ideas related to new research tracks are stated that help to direct researchers to new and novel topics.

Family businesses have a dual objective of profit making and providing opportunities for family members. This duality leads to a conflict that may bring poor team work and communication, which is difficult to reconcile. Thus, the study looked into how the performance of family enterprises is affected by family dynamics. Additionally, it examines the relationship's ability to be mediated by effective leadership.

The study adopted a quantitative, explanatory research approach. The study population was family-owned enterprises in KwaZulu-Natal's South Durban Basin, of which 236 were chosen using a snowball and convenience sampling technique. Data was analysed using various descriptive and inferential statistical techniques, namely, multiple regression and the standard deviation.

The finding of the study shows that family dynamics significantly influenced business performance both directly and indirectly through effective leadership. Besides, the family firms with larger employee sizes have better effective leadership that positively contributes to the business performance.

The study recommends that family businesses should train their members to ensure leadership effectiveness.

This study is unique in that it was conducted in Black Townships and focusses mainly on businesses owned by families of Indian descent that need to prepare for leadership/ownership. It also contributes to academic literature on family dynamics and will encourage families to recognise the importance of strong leadership in controlling family dynamics to improve business success.

Develops an original 12‐step management of technology protocol and applies it to 51 applications which range from Du Pont’s failure in Nylon to the Single Online Trade Exchange for Auto Parts procurement by GM, Ford, Daimler‐Chrysler and Renault‐Nissan. Provides many case studies with regards to the adoption of technology and describes seven chief technology officer characteristics. Discusses common errors when companies invest in technology and considers the probabilities of success. Provides 175 questions and answers to reinforce the concepts introduced. States that this substantial journal is aimed primarily at the present and potential chief technology officer to assist their survival and success in national and international markets.

This study aims to analyse organisational capabilities among new technology-based firms (NTBFs) and examine how these capabilities are linked to the firms’ long-term survival.

The study leverages a data set of 131 NTBFs located at 16 incubators in Sweden. The first part of the analysis seeks suitable organisational capabilities as determinants of firm survival. The second part is a statistical analysis. The organisational capabilities comprise six variables concerning business experience, financing and international markets.

The study comprises two data collections, with the first data collection being conducted in 2005, and the second in 2014. The survival rate for these firms was 55 per cent according to their respective annual reports in 2013. First, this study showed that the logistic regression model that included the three organisational capabilities is significant. Second, one variable is significant at the variable level: business experience. In addition, the control variable firm size is also significant.

Further empirical research in this area is required as the current research on organisational capabilities is quite limited and mainly conceptual in nature. Very few related studies focus on NTBFs and their survival. This study demonstrates a significant logistic regression model to determine links between organisational capabilities and firm survival.

In the era of the retail Apocalypse, the surge of e-commerce has transmuted the competitive landscape for many traditional retailers that heavily rely on brick-and-mortar stores. This study examines the relationship among retail quality, market environment and businesses' survival in the context of the sporting goods retail industry.

Based on a data set from yelp.com, the authors examine the survival of 1,360 stores within 306 zip codes in the United States using mixed effects logistic modeling.

(1) Retail quality is positively related to survival, but the relationship is nonlinear; (2) the author find a null relationship between market competition and survival, which is subject to several competing interpretations; (3) 10% of the individual variation in survival is due to systematic differences between zip codes and (4) chain stores and stores with more heterogenous reviews have a higher closure rate.

This study contributes to the literature by offering an empirical testing of the relationship between retail quality and business survival and examining the impact of trading area in the modern marketing milieu. The findings have practical implications for site selection and designing a service quality program.

Briefly reviews previous literature by the author before presenting an original 12 step system integration protocol designed to ensure the success of companies or countries in their efforts to develop and market new products. Looks at the issues from different strategic levels such as corporate, international, military and economic. Presents 31 case studies, including the success of Japan in microchips to the failure of Xerox to sell its invention of the Alto personal computer 3 years before Apple: from the success in DNA and Superconductor research to the success of Sunbeam in inventing and marketing food processors: and from the daring invention and production of atomic energy for survival to the successes of sewing machine inventor Howe in co‐operating on patents to compete in markets. Includes 306 questions and answers in order to qualify concepts introduced.

Studies on spinoffs neglect firms founded by single individuals (i.e. proprietorships) thus overlooking a large portion of new ventures. Moreover, scholars usually do not consider the effect of the rank, and the amount, of founder’s working experience on spinoff’s survival. The purpose of this paper is to analyze a sample of 3,456 Italian manufacturing proprietorships.

Out of an initial population of some 6,000 firms, the authors obtained a sample of 3,456 usable records with complete information about new ventures and founders’ background. The authors relied on the class of methods known as “proportional hazard models” to perform survival analyses.

Analyses show that spinoffs from surviving parents outlive other startups. Surprisingly, spinoffs from high-ranked positions have comparable hazard rates than other startups while spinoffs from low-ranked positions have lower hazard rates than other startups. Finally, industry-specific working experience has a curvilinear inverted U-shape effect on spinoffs’ survival.

The present study contributes to the debate on spinoffs’ survival and bears important ramifications into the relationship between knowledge inheritance and entrepreneurial dynamic capabilities. It is also helpful in informing public policies aimed at encouraging entrepreneurial activities in the form of new proprietorships.

Credit may help farmers survive and grow by helping farm households cope with farm or off-farm income variation and by allowing farmers to adopt more efficient production technologies and take advantage of scale economies. This study estimates how credit constraints affect the survival and growth of beginning farms and explores how this effect varies depending on the age of the farm operator.

Farms businesses are classified as credit constrained using a measure of repayment capacity: the interest expense ratio (interest expenses relative to gross income). Linked data from consecutive Agricultural Censuses are used to track individual farms over time.

Results show that beginning farms with a high interest expense ratio take on less new debt over the subsequent five years. These credit-constrained farms were found to have lower five-year survival and growth rates than similar unconstrained farms. The negative effect of being constrained on growth is greater for farms with operators younger than 40 years old.

The finding that credit constraints impede the growth and survival of beginning farms supports a rationale for targeted loan programs designed to help beginning farmers. Results suggest that some of the benefits from these programs will be greater for farms with younger operators.

This study is the first to estimate the effect of credit constraints on the survival and growth of farm businesses. The expansive farm-level panel dataset, which includes almost all beginning farmers in the US, allows for precise coefficient estimates while controlling for numerous farm and operator characteristics.

The purpose of this paper is to analyze how new technology-based firms’ (NTBF) business and innovation resources affect firm survival.

The study leverages a data set comprised of 131 Swedish NTBFs located in 16 incubators. The first part of the analysis investigates the determinants of firm survival, and the second presents a statistical analysis. The business resources examined in this study consist of business planning and localization variables and four latent variables are developed. Patents at the firm start or during the firm’s first three years are considered as innovation resources.

First, this study shows that the latent business plans variable has a significant positive connection with firm survival. Second, patent development during firms’ initial years is critical to firm survival.

This study is longitudinal, with the first data collection occurring in 2005 and the second in 2014. The firms’ 2013 annual reports suggest that the firms’ survival rate is 55 percent. This longitudinal research that spans eight years shows how the development of patents is highly significant to firm survival.