Communication Strategies of Entrepreneurial Organizations in Mobile Apps Industry

This research advances scholarly understanding of the strategic decisions regarding external communication during the critical period of product launch. Drawing on research about dynamic capabilities and external organizational communication, this study examines ways in which entrepreneurial organizations use silence as an effective communication strategy to reduce external uncertainty and to nurture growth during critical periods of development. Data were collected tracking the external communication of 54 entrepreneurial organizations that focus on mobile news application development. Results show a significant relationship between the attention organizations attract after product launch and an organization’s performance. The greater the magnitude of change from pre-launch to post-launch, from less frequent external communication to more frequent external communication, the more likely there is to be an increase in the product performance. The findings emphasize a more nuanced understanding of external communication as a strategic tool in entrepreneurial organizations.

Imparting medical knowledge to pharmaceutical sales force

Keycustomers of the pharmaceutical industry are qualified medical practitioners. To be able to stand their ground the sales representative needs training about medical terminology, the relevant disease, the molecule being marketed and some competitor information. A short induction could be followed by ongoing refresher training either face to face or online. The medical department has a major role to play here. Product launch training is planned by medical and marketing team based on the feature benefits of the product being launched. The training unit of the medical department of pharma companies are an inseparable part of the whole marketing effort.

Analyzing Marketing Strategy of Milk and Dairy Products Launch Plan for New Variety of Milk

The authors conducted a survey in Nagpur to analyse the marketing strategy for liquid milk and the new product launch plan for a new variety of special milk. He has focused on marketing strategies used by major liquid milk players in the market like differentiation strategy, low pricing strategy, and focus group strategy, and we've also figured out how to break into a new market segment with a new liquid milk variety. Based on our observations, we're trying to collect information from 350 tea vendors in Nagpur. We also collected data from major milk marketing players, whose names are not to be revealed, so we have annotated A, B, C, D, E, and others. The current study focuses on emphasising the importance of a launch plan strategy for new milk and dairy products.

Lifetime performance evaluation model based on quick response thinking

In practice, lifetime performance index CL has been a method commonly applied to the evaluation of quality performance. L is the upper or lower limit of the specification. The product lifetime distribution is mostly abnormal distribution. This study explored that the lifetime of commodities comes from exponential distribution. Complete data collection is the primary goal of analysis. However, the censoring type is one of the most commonly used methods due to considerations of manpower and material cost or the timeliness of product launch. This study adopted Type-II right censoring to find out the uniformly minimum variance unbiased (UMVU) estimator of the lifetime performance index CL and its probability density function. Afterward this study obtained the 100×(1-α)% confidence interval of the lifetime performance index CL as well as created the uniformly most powerful (UMP) test and the power of the test for the product lifetime performance index. Last, this study came up with a numerical example to demonstrate the suggested method as well as the application of the model.

SEQUENTIAL DESIGN PROCESS FOR SCREENING AND OPTIMIZATION OF ROBUSTNESS AND RELIABILITY BASED ON FINITE ELEMENT ANALYSIS AND META-MODELING

A new medical device can take years to develop from early concept to product launch. Three approaches are often combined to mitigate risks: Failure Modes and Effects Analysis (FMEA), simulation and modeling, and physical test programs. Although widely used, all three approaches are generally time-consuming and have their shortcomings: The risk probabilities in FMEA's are often based on educated guesses, even in later development stages as data on the distribution of performance is not available. Thus, the traditional use of safety factors in structural analysis versus the probabilistic approach to risk management presents an obvious misfit. Therefore, the above three approaches are not ideal for addressing the design engineer's key question; how should the design be changed to improve robustness and failure rates. The present work builds upon the existing Robust and Reliability-Based Design Optimization (R2BDO) and adjusts it to address the key questions above using Finite Element Analysis (FEA). The two main features of the presented framework are screening feasible design concepts early in the embodiment phase and subsequently optimizing the design's probabilistic performance (i.e., reduce failure rates) while using minimal computational resources. A case study in collaboration with a medical design and manufacturing company demonstrates the new framework. The optimization minimizes the failure rate (and improves design robustness) concerning three constraint functions (torque, strain, and contact pressure). Furthermore, the study finds that the new framework significantly improves the design's performance function (failure rate) with limited computational resources.

Attributes of product advantage and choices for manufacturer–retailer formal governance: the case of new product launch

PurposeThis study examined how the technological (tech) advantage and market advantage of new products influence the level of formal channel governance and, in turn, affect the success of new products in the presence of relational governance.Design/methodology/approachThe hypotheses are tested using the partial least squares approach to analyse survey data collected from 392 retailers of customer goods in China.FindingsThe results indicate that tech advantage and market advantage lead to an increase in retailers' transaction-specific investments (TSIs) and contract explicitness, respectively; the positive effect of market advantage on a retailer's TSIs will gradually decrease and will even become negative beyond a certain point. The relational governance mechanism can substitute for the effects of contract explicitness on improving new product success.Originality/valueThis research provides a new perspective for understanding new product advantage and exerts an initial effort to empirically distinguish between tech advantage and market advantage. It enriches the innovation literature by examining the governance of new product launches through retailers and explores the effects of formal and informal governance on channel cooperation performance in the new product launch stage.

Genetic Algorithm-Based Digital Test Optimization Method and its Application to Yield Improvement

Narrowing design and manufacturing process margins with technology scaling are one of the causes for a reduction in IC chip test margin. This situation is further aggravated by the extensive use of third-party design blocks in contemporary system-on-chips which complicates chip timing constraint. Since a thorough timing verification prior to silicon fabrication is usually not done due to aggressive product launch schedules and escalating design cost, occasionally, a post-silicon timing optimization process is required to eliminate false fails encountered on ATE. An iterative two-dimensional shmoo plots and pin margin analysis are custom optimization methods to accomplish this. However, these methods neglect the interdependencies between different IO timing edges such that a truly optimized condition cannot be attained. In this paper, we present a robust and automated solution based on a genetic algorithm approach. Elimination of shmoo holes and widening of test margins (up to 2x enhancements) are demonstrated on actual product test cases. Besides test margin optimization, this method also offers insights into the criticality of test pins to accelerate failure debug turnaround time.

Integrating User-Centered Design Into the Sylvester Firefighter Cancer Initiative’s Personal Exposure Reporter

Firefighters are potentially exposed to many carcinogens in their work. Collection of occupational hazard exposure data offers firefighters greater awareness of their health and wellness and analysis of the data provides researchers opportunities to identify firefighters’ specific health risks. The University of Miami’s Firefighters’ Cancer Initiative conducted user-centered design research with 450 Florida firefighters to develop and implement the Personal Exposure Reporter system for firefighters. Responses after product launch suggest that the system is well received and allows firefighters to successfully submit incident exposure information. The Personal Exposure Reporter will help both firefighters and cancer researchers better understand and address cancer risks.

An Integrated Virtual Engineering Methodology to Evaluate Manufacturing Residual Stress in Cylinder Blocks through Casting and Quenching

Engine cylinder block cracking is a costly engine component failure that is often discovered late, either in the product verification phase by dynamometer testing or after product launch during vehicle operations. It is well established that the crack issues are related to the residual stress induced in the casting and heat treatment processes. To identify the quality risk in a short turn-around time and a cost-effective fashion, using computer simulations to evaluate the state of stress during casting and heat treat processes is the trend in automotive industry. In recent years, CAE methodologies have advanced significantly in both CFD and FEA to model the casting process, the quenching process, the residual stress, and the high cycle fatigue (HCF). However, calculating the final stress in the cylinder block requires several CAE software tools to work together as an integrated, streamlined engineering method and these CAE tools could be very different in meshing topologies, numerical methods, data structure, and post-processing capabilities. The intent of this research is to develop an integrated virtual engineering methodology combining casting simulation, computational fluid dynamics and finite element method to simulate the manufacturing process from the beginning of casting, through water quenching heat treatment, to engine dynamometer testing. The methodology involves three CAE tools, MAGMASOFT®, AVL FIRETM/FIRETM-M and ABAQUS, and considerable amounts of research and development work are concentrated on the validation of each individual numerical method and tools for data exchange between the software tools.