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Forming ties with prominent partners can help convey greater status and legitimacy to the company (Hallen, 2008) and also increases the entrepreneur’s influence within their own network (Bonacich, 1987). This allows entrepreneurs to gain greater access to the information, experience or resources that the company needs.

The founders of the company provided us with access to the inner workings of the company, their mentors and advisors and themselves. The authors used archival research and interviews when preparing this case. Interviews allow for the development of uncensored, real-life insights into the entrepreneur’s business experience. The authors also interviewed two of their mentors and investors.

Having graduated from UMass Lowell with engineering degrees, co-founders Rajia Abdelaziz and Ray Hamilton build invisaWear into a venture, but they did not know much about business. With coaching from their mentors, Rajia and Ray focused on building their network to raise capital to finance the business. Despite all their hard work networking, however, they faced a hurdle. Rajia and Ray contemplated their dilemma. “Are the authors doing something wrong? What can the authors do differently to attract investors?”

This case is suitable for an undergraduate course in business or entrepreneurship. This case is intended to illustrate to both business and non-business students how entrepreneurs can go about building their networks to grow their businesses. Presented as a real-life example of how entrepreneurs build their networks, the case can also be used to hone in on select topics including mentoring, searching for resources and coachability.

Why do some individuals become entrepreneurs while others do not? This fundamental question has vexed entrepreneurship scholars for some time, giving rise to various schools of thought. Traditional economic motivation theories, for example, suggest that entrepreneurial opportunities arise from changes in either supply (Shane, 2000) or demand (Dew et al., 2004) and emphasize personal economic gain as a motivator for pursuing entrepreneurship. Both neoclassical equilibrium and psychological theories take a person-centric perspective whereby stable, enduring differences among people’s characteristics, determines who becomes an entrepreneur. Opportunity recognition may be enhanced through perspective taking (i.e. putting oneself in the shoes of another person) (Prandelli et al., 2016).

The founders of the company provided us with access to the inner workings of the company, their mentors and advisors and themselves. This study used archival research and interviews when preparing this case. Interviews allow for the development of uncensored, real-life insights into the entrepreneur’s business experience. The authors first conducted a 90-min interview with Rajia and Ray at DifferenceMaker^® Central on the UMass Lowell campus. DifferenceMaker^® provided us with pictures and timelines from when Rajia and Ray participated in the various DifferenceMaker^® activities and competitions. A follow-on 90-min interview was conducted with the founders four months later at the UMass Lowell Innovation Hub to delve deeper into their transition from engineers to entrepreneurs.

In the summer of 2016, the future of invisaWear suddenly became uncertain. Rajia Abdelaziz and Ray Hamilton had conceived an idea for smart jewelry that they felt solved a real problem. But it was one thing to have a great idea and quite another to turn that idea into a real business. As engineering students, they were accustomed to solving problems, but if they truly wanted to make an impact, they had to learn to solve problems as entrepreneurs. With the help of DifferenceMaker^® and their mentors, they developed an entrepreneurial mind-set and decided to build invisaWear into a company.

This case is suitable for an undergraduate course in business or entrepreneurship. This case is intended to illustrate to both business and non-business students how individuals with different backgrounds can become entrepreneurs. Presented as a real-life example of how engineering students can make the transition to an entrepreneurial mind-set, the case can also be used to hone in on select topics including opportunity recognition, problem-solving, ideation and the business model canvas.

This paper aims to obtain the evolution law of dynamic performance of CR400BF electric multiple unit (EMU).

Using the dynamic simulation based on field test, stiffness of rotary arm nodes and damping coefficient of anti-hunting dampers were tested. Stiffness, damping coefficient, friction coefficient, track gauge were taken as random variables, the stochastic dynamics simulation method was constructed and applied to research the evolution law with running mileage of dynamic index of CR400BF EMU.

The results showed that stiffness and damping coefficient subjected to normal distribution, the mean and variance were computed and the evolution law of stiffness and damping coefficient with running mileage was obtained.

Firstly, based on the field test we found that stiffness of rotary arm nodes and damping coefficient of anti-hunting dampers subjected to normal distribution, and the evolution law of stiffness and damping coefficient with running mileage was proposed. Secondly stiffness, damping coefficient, friction coefficient, track gauge were taken as random variables, the stochastic dynamics simulation method was constructed and applied to the research to the evolution law with running mileage of dynamic index of CR400BF EMU.

This paper aims to overcome the problem that the single structure of the driving term of the grey prediction model is not adapted to the complexity and diversity of the actual modeling objects, which leads to poor modeling results.

Firstly, the nonlinear law between the raw data and time point is fully mined by expanding the nonlinear term and the range of order. Secondly, through the synchronous optimization of model structure and parameter, the dynamic adjustment of the model with the change of the modeled object is realized. Finally, the objective optimization of nonlinear driving term and cumulative order of the model is realized by particle swarm optimization PSO algorithm.

The model can achieve strong compatibility with multiple existing models through parameter transformation. The synchronous optimization of model structure and parameter has a significant improvement over the single optimization method. The new model has a wide range of applications and strong modeling capabilities.

A novel grey prediction model with structure variability and optimizing parameter synchronization is proposed.

The highlights of the paper are as follows:

1. A new grey prediction model with a unified nonlinear structure is proposed.

2. The new model can be fully compatible with multiple traditional grey models.

3. The new model solves the defect of poor adaptability of the traditional grey models.

4. The parameters of the new model are optimized by PSO algorithm.

5. Cases verify that the new model outperforms other models significantly.

A new grey prediction model with a unified nonlinear structure is proposed.

The new model can be fully compatible with multiple traditional grey models.

The new model solves the defect of poor adaptability of the traditional grey models.

The parameters of the new model are optimized by PSO algorithm.

Cases verify that the new model outperforms other models significantly.

The purpose of this paper is to put forward the lubrication model of oil bearing and enrich the design theory under the condition of mixed lubrication.

A mixed lubrication model of bilayer porous bearing is established. The effects of the working conditions on the lubrication performance and seepage behavior were analyzed.

Results show that the oil film pressure mainly occurs in the bearing convergence zone and contact pressure mainly occurs near the minimum film thickness. The oil infiltrates into the porous matrix in the contact area and precipitates out to the friction surface at the inlet of the contact area. The oil seepage velocity and dynamic pressure effect at the friction interface can be improved by reasonably matching the load and speed. With the decrease of the external load or increase of the rotating speed, the lubrication performance becomes well.

This study provides a reference for the design and application of oil bearing under harsh working conditions.

The purpose of this paper is to provide a conceptualization of the construct of cultural identity (CI) and develop and validate a measurement scale for the construct. This study examines experience-related cognitions and the positive and negative emotional dimensions in cultural identity.

The paper describes the process of the development of the instrument, the sample, as well as the validation of the instrument. This study performs both exploratory factor analysis and confirmatory factor analysis to examine the reliability and validity of the scale developed.

The final CI scale has three dimensions: six items for the cognitive dimension, five items for the emotional dimension and seven items for the behavioral dimension. The scale shows internal consistency, reliability, construct validity and nomological validity.

This is the first CI scale to be developed for the measurement of CI of traditional Chinese medicine.

The relationship between farm size and greenhouse gas (GHG) emissions has not been clearly defined. This paper aims to assess and compare the impact of farm size on greenhouse gas (GHG) emissions derived from wheat and maize production in the North China Plain (NCP), one of the most important agricultural regions in China.

A field survey through face-to-face interviews was conducted to collect the primary data, and life cycle assessment method, a worldwide comparable framework, was then adopted to characterize the farm-size effect on greenhouse gas (GHG) wheat and maize production in NCP.

It was confirmed that GHG emissions from N fertilizer production and use were the primary contributor to total carbon footprint (CF). As farm size increased, maize yield increased but wheat yield barely changed, while area-scaled and yield-scaled CF declined for both crops. These results were supposed to relate to utilize the inputs more efficiently resulting from increased application of modern agriculture methods on larger operations. It was also found maize not only had higher grain yields, but possessed much smaller CFs. More notably, the reduction of CF with farm size seemed to be more sensitive for maize as compared to wheat. To further mitigate GHG emissions, farm size should better be larger for wheat than for maize.

This study provides useful information guide for Chinese agriculture in increasing crop production, raising farm income and relieving environmental burdens caused by the misuse of agricultural resources.

Accurate prediction of seasonal power consumption trends with impact disturbances provides a scientific basis for the flexible balance of the long timescale power system. Consequently, it fosters reasonable scheduling plans, ensuring the safety of the system and improving the economic dispatching efficiency of the power system.

First, a new seasonal grey buffer operator in the longitudinal and transverse dimensional perspectives is designed. Then, a new seasonal grey modeling approach that integrates the new operator, full real domain fractional order accumulation generation technique, grey prediction modeling tool and fruit fly optimization algorithm is proposed. Moreover, the rationality, scientificity and superiority of the new approach are verified by designing 24 seasonal electricity consumption forecasting approaches, incorporating case study and amalgamating qualitative and quantitative research.

Compared with other comparative models, the new approach has superior mean absolute percentage error and mean absolute error. Furthermore, the research results show that the new method provides a scientific and effective mathematical method for solving the seasonal trend power consumption forecasting modeling with impact disturbance.

Considering the development trend of longitudinal and transverse dimensions of seasonal data with impact disturbance and the differences in each stage, a new grey buffer operator is constructed, and a new seasonal grey modeling approach with multi-method fusion is proposed to solve the seasonal power consumption forecasting problem.

The highlights of the paper are as follows:

1. A new seasonal grey buffer operator is constructed.

2. The impact of shock perturbations on seasonal data trends is effectively mitigated.

3. A novel seasonal grey forecasting approach with multi-method fusion is proposed.

4. Seasonal electricity consumption is successfully predicted by the novel approach.

5. The way to adjust China's power system flexibility in the future is analyzed.

A new seasonal grey buffer operator is constructed.

The impact of shock perturbations on seasonal data trends is effectively mitigated.

A novel seasonal grey forecasting approach with multi-method fusion is proposed.

Seasonal electricity consumption is successfully predicted by the novel approach.

The way to adjust China's power system flexibility in the future is analyzed.

The purpose of this study is to prepare ZnFe₂O₄ nanospheres, sheet MoS₂ and three ZnFe₂O₄@MoS₂ core-shell composites with various shell thicknesses, and add them to the base oil for friction and wear tests to simulate the wear conditions of hybrid bearings.

Through the characterization and analysis of the morphology of wear scars and the elemental composition of friction films, the tribological behavior and wear mechanism of sample materials as lubricant additives were investigated and the effects of shell thickness and sample concentration on the tribological properties of core–shell composite lubricant additives were discussed.

The findings demonstrate that each of the five sample materials can, to varying degrees, enhance the lubricating qualities of the base oil and that the core–shell nanocomposite sample lubricant additive has superior lubricating properties to those of ZnFe₂O₄ and MoS₂ alone, among them ZnFe₂O₄@MoS₂-2 core–shell composites with moderate shell thickness performed most ideally. In addition, the optimal concentration of the ZnFe₂O₄@MoS₂ lubricant additive was 0.5 Wt.%, and a concentration that was too high led to particle deposition and affected the friction effect.

In this work, ZnFe₂O₄@MoS₂ core–shell composites were synthesized for the first time using ZnFe₂O₄ as the carrier and the lubrication mechanism of core–shell composites and single materials were compared and studied, which illustrated the advantages of core–shell composite lubricant additives. At the same time, the influence of different shell thicknesses on the lubricant additives of core–shell composites was studied.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-12-2022-0367/