Manufacturers are increasingly adopting collaborative product development (CPD) to achieve competitive advantage through joint synergies. Information and communication technology (ICT) is the major enabler of communication, collaboration, product designing, development, knowledge and information management, project management, and market research activities involved in CPD. Most ICT implementations incur a significant cost for firms, thus a deeper understanding of the impact of ICT usage on CPD performance would be immensely useful for managing ICT resources effectively in innovation programmes. However, existing evidence for the direct relationships between ICT usage and performance dimensions are counterintuitive (negative or insignificant). Not considering the different aspects of ICT usage was identified as a key reason for the lack of strong empirical evidence. Furthermore, the impact of ICT usage on collaboration-based product development performance and indirect impact through this collaboration performance on new product performance, as well as moderating effects of project characteristics on the direct and indirect ICT impact have largely been ignored in the literature. Therefore, drawing on relational resource-based view and organizational information processing theory, this study develops and utilizes a model including multidimensional ICT usage and CPD performance measurements, and possible moderating project characteristics, for better evaluating the impact of ICT usage on CPD performance.
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In this study I assess the negative impact of Cell phone usage on university student learning. Most of the students were agree. Result finding show that Negative impact of cell phone on the student of university. Previous study shows that mobile phone has many negative effects or impact on students learning process at the level of university. Including time and money is also wasting. Its daily use and produce vibrations are dangerous for health or body functions. Cell phone usage affects the health of all members in society and social life as well as student of the university. It is the main source of disruption on students in university (Ansari, 2015).
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Lee, Jinkook, Fahzy Abdul-Rahman, and Hyungsoo Kim. "Debit card usage: an examination of its impact on household debt." Financial Services Review. 16.1 (2007): 73. Mercatanti, Andrea, and Fan Li. (2014). "Do debit cards increase household spending? Evidence from a semiparametric causal analysis of a survey." The Annals of Applied Statistics. 8.4: 2485-2508
BSC usage has a positive impact in the performance of commercial banks. Majority of the respondents noted that they had achieved considerably in terms of BSC usage. This indicates that the BSC is a management system that enables organizations to clarify their vision and strategy and translate them into action. BSC provides feedback on the internal processes and external outcomes in order to continuously improve strategic performance and results. The effectiveness of BSC usage lies on organizations dynamics, the manner of execution and monitoring and evaluation procedures adopted. REFERENCES
constrained in Mali due to the low access to fertilizer (IFDC, 2015) by the poor smallholder farmers, resulting in low agriculture production. Today in Mali, make available to farmer’s fertilizer and information needed for its proper use is an essential asset for promoting sustainable agriculture production and food security while preserving environment. Before, assessing the existing fertilizers usage and it impact on crop production and food security is a prerequisite in the identification and development of appropriate improved practice. The objective of this study was to characterise the existing fertilisers management practices at Siguidolo and assess their impact one millet and sorghum yield in order to develop an improved method.
Nowadays, the Smartphone has become a necessity and forms an important part of Student life. It is well-known fact that with the advent of increasing technology domination and changing lifestyle towards now the smart phone becomes a commodity of necessity and has become one important element of the life of even to the uneducated people. Hence, there is a remarkable scope to investigate the demographic characters, influencing factors, level of satisfaction on usage and impact of smart phone usage among student community. Advertisers and marketers have been trying to discover why students buy the smart phone and what other features do they look for in a Smartphone for the fulfilment of the
Cleverley, J and Heeson, SJA (2019) Usage, Engagement and Impact: Evaluating the usage of and measuring impact and engagement with library resources at Leeds Beckett University Library. In: UKSG 42nd Annual Conference and Exhibition: Telford, 08 April 2019 - 10 April 2019, Telford International Centre. (Unpublished)
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This paper consequently aims to show how the usage of mobile telephone calls and text messaging affects relationships between individuals. To achieve this goal, the structure of the relationship between several observable variables and latent variables 1 is explored. The differences and similarities between these relationships are also examined across three East Asian cultures. The results of the paper show that, although somewhat different patterns of interdependency among the factors influencing relationships with friends and acquaintances exist in these metropolitan areas, communication through mobile telephones has a relatively low impact on the actual "depth" or "width" of relationships. This implies that mobile telephones only weakly influence the behaviour of the younger generation.
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resources, the Library Impact Data Project was a six-month project funded by Jisc to investigate the hypothesis that: “There is a statistically significant correlation across a number of universities between library activity data and student attain- ment.” The project looked at usage data of 33,074 undergraduate students across eight U.K. universities. E-resources usage, library borrowing statistics, and library gate entry were measured against final degree award. The research successfully demonstrated a statistically significant relationship between library resource use and level of degree result; however, any conclusions drawn are not indicators that library usage and student attainment have a causal relationship. The article also dis- cusses issues that need to be considered when looking at the data in more depth
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University students can share useful information with their classmates and teachers by proper utilizing this technology. Female students belong to distant areas feel secure and their parents can contact them any time. Authors also focused that students misused it in sense of make long time calls (Javid, Malik, & Gujjar, 2011). Cell phone usage and its impacts on students were also focused by (Nysveen, Pedersen, & Thorbjørnsen, 2005). The study suggested that students use mobile chat services, social norms and essential intentions such as enjoyment, were important elements of intent to use among female users. Zulkefly & Baharudin, (2009) determined the use of cell among students to maintain communication with family and friends. Average spend time on cell is 6 hours daily and text message was the most used feature, male students were more interested in features of sending MMS & using GPRS from mobiles. High class family students spent more time and money on mobile phone, also there is association exists between mobile phone use and psychologically adverse impact on students’ health.
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The researcher focused on the usage of machine learning (ML) in business industries and its significant impact with respect to extracts meaningful insights from raw data to quickly solve complex, data-rich business problems.ML algorithms learn from the data iteratively and allow computers to find different types of hidden insights without being explicitly programmed to do so. ML is evolving at such a rapid rate and is mainly being driven by new computing technologies.Machine learning in business helps in enhancing business scalability and improving business operations for companies across the globe. Artificial intelligence tools and numerous ML algorithms have gained tremendous popularity in the business analytics community. Factors such as growing volumes, easy availability of data, cheaper and faster computational processing, and affordable data storage have led to a massive machine learning boom. Therefore, organizations can now benefit by understanding how businesses can use machine learning and implement the same in their own processes. Keywords : Ml, HFT, AI
Research is based on primary data collected with the help of questionnaire. Objective of study is to find out the relation of age factor and number of mobile apps used by the people. The Study will prove itself useful in making strategies for product planning and identification of target group of customer of various products. Z-Test is used for analysis of data. Significance level of tabulated value of z is set at 95%. The usage of mobile apps has been categorized into 3 categories i.e usage of 1 to 3 apps, 4 to 6 apps and 7 to 9 apps. The age categories defined for study have been classified as Young (upto 25 years of age), Mature (from 26 to 50) and Seniors (from 51 and above). Formula for Z-test is used as under:
Besides external factors, individual differences such as personality are also non-trivial for data analysis. Although less explored than smartphone context/usage, there are sev- eral recent works that have begun to explore linkages between smartphone usage and personality [5,21]. Chittaranjan et al. continued the earlier work of Do et al. to analyze the relationships between smartphone usage such as application usage (frequency), calls, SMS messages, and Big-Five personality traits. In , Chittaranjan et al. were able to infer the personality type of a user based on aggregated creatures obtained from the smartphone usage data significantly above chance and up to 75.9% accuracy. In the work by Butt and Phillips , the researchers found that disagreeable extraverts reported spending more time calling, changing ringtones, and changing phone wallpaper. Unconscientious, emo- tionally unstable, disagreeable extraverts also reported spending more time sending text messages. Critically, all data reported by the study was gathered via self-reported surveys in contrast to our own which was directly logged on the device. The key contribution of our work relative to the works by Chittaranjan et al.  and Butt and Phillips  is to bring location context and user proximity into consideration.
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This study has investigated adoption of e-SCM in manufacturing sector in Jordan. The use of web technologies is proving to be beneficial to enhance e-SCM activities in organizations . However, practicing the advanced levels of supply chain management is proving to be difficult. For example, an extensive industry survey by  finds that the majority of companies “are still struggling to reach the more advanced stages of supply chain management in which collaboration and the use of digital commerce and other cyber-based communication techniques are applied with external partners”. Similarly,  suggests that while disputing the economic impact of supply chain management rarely exists, “initiatives to improve supply chain processes have fallen short of expectations”. Findings of our investigation about the key factors impacting the level of e-SCM activities have significant implications for advancing both the practice of e-SCM as well as enhancing the theoretical develop- ment of e-SCM. In this paper, we build upon  work on relational rents to understand the key factors affect- ing the e-SCM activities. Our research model also included the investigation of the impact of e-SCM on the re- alized gains in performance which found to be significant. The extent to which e-SCM is used in supply chain processes such as supplier selection, order processing, logistics, invoicing, demand management, etc. affects the perceived realized benefits in relation to improved customer service, better inventory control, reduced cycle time, greater competitive advantage, etc. Our findings validate those of several other recent research projects  .
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Effect of Derivatives use on firm value: censored regression results after removing the outliers This table presents the results for fixed-effects regression on the use of derivatives on firm value, after the removal of outliers (with respect to Q). The dependent variable is the natural logarithm of Tobin's Q. Under the column of all firms are the results of the regression in the whole sample (238 observations), under the one of firms with FX exposure are the results of the regression in firms with foreign assets, sales or income (176 observations) and under the column of firms with IR exposure are the results of the regression in firms with fluctuating debt (219 observations). C stands for the constant, HDG stands for the derivatives usage dummy, FCD stands for Foreign Currency Derivatives Usage Dummy, IRD stands for Interest Rate Derivatives Usage dummy, FSTS stands for the ratio of foreign sales to total sales, LOG(TAS) stands for the natural logarithm of total assets, ROA stands for return on assets, CXTS stands for capital expenditures to total sales, IND stands for industry diversification dummy, LDBE stands for the ratio of long term debt to Book value of Equity, DIV stands for the dividend dummy, ADSA stands for the ratio of advertising expenses to total sales, RDTAS stands for research and development expenses to total assets, Y1 and Y2 stands for year dummies of 2004 and 2005 respectively.***,**,* denote significance at the 1%, 5% and 10% respectively. T-statistics are based on White standard errors. The definitions of the variables are presented in Table 2. The estimations were conducted by using the Eviews econometric software.
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college students and results of the analysis is presented in Table 7. From Table 7, it is found that 26 per cent of the total variance (R 2 =0.257) of internet usage among the students has been explained by the general details, internet dependency and the selected psychosocial factors related to the student population. The adjusted R 2 attempts to correct R 2 to more closely reflect the goodness of fit of the model in the population, therefore it could be concluded that 51 per cent of the variance (Adjusted R 2 =0.257) of internet usage is contributed by the selected independent variables. The F value (39.18) indicated that the independent variables significantly explain the variation in the dependent variable, internet usage at p<.01 level of significance. The relative importance of each independent variable in this model is evident from the significant ‘t’ values. It is found that the type of college, gender, family’s monthly income, education of the father, internet dependency, well-being and social interaction contribute significantly to the internet usage among the students. The beta values show that internet dependency positively contributes to internet usage of the college students. The positive beta values indicate that higher the internet usage, higher is the internet dependency and higher loneliness among the college students. The negative beta values exhibit that the type of college, gender, education of mother, well-being and social interaction contribute negatively to the internet usage of the college students. These values elucidate that higher internet usage, lower the well-being and social interaction among the college students.
Background: Technology has become the driving force of our lives. With time dependency on technology is increasing day by day, among which young students are the most vulnerable group to be addicted. Although technology has proven to be beneficial in daily life, it also has some strong negative impacts on lifestyle of students. This study has been conducted to study impacts of the addictive use of technological gadgets and services on mental health and life-style of medical students of Islamabad. Methods: This study was conducted by 4th year M.B.B.S students of FMDC Islamabad. Using valid and reliable questionnaire and after proper consent, primary data was collected from 330 students of different medical colleges of Islamabad who were selected randomly after the sample size calculation. Ethical consideration was taken from ethical committee of PIMS Islamabad. Results: The mean age of 330 students were 21.31 ±5 years. The study result shows that most of the young students spend their time mostly using the technological gadgets. And the purpose behind use was entertainment and communication rather than study. Study also reveals that excessive use of technological gadgets has negative impacts on physical and mental health that serves as an important factor in change of lifestyle of students. Conclusion: Timely management and proper usage of technological gadgets helps in preventing negative impacts on and necessity usage of technology
In the early 1960s, dangerous effects of pesticides on human health and its prolonged impacts on the food chain were observed first time. In India, the first incident of such type of harmful effects was reported in the states of Kerala in 1958, where more than 100 people died due to parathion mixed wheat flour ingestion . The Federal Economic Poisons Act (USA) and Miller Bill were the two important decisions regarding analysis and study of pesticide toxicity. The FEPA registers pesticides as separate chemical additives while Miller Bill recognized the tolerance limits of pesticide residues in food crops . The legislations on the pesticides usage and related risks were also significantly changed after the first investigation of environmental hazardous effects of pesticides in 1962 .
Use of social media also becomes the reason for emotional distress from receiving threatening, harassing, or humiliating communication from another teen, called cyber bullying. Cyber bullying has been shown to cause higher levels of depression and anxiety for victims than traditional bullying and has also been connected to cases of youth suicide with teens known to engage in reading hurtful comments days before their suicide attempts (Kowalski, 2009).while discussion, difference of opinion is quite common, but on social media among youth such discussion have long lasting impact if turned negatively and certainly the duration of depression will be longer.
Federal Communications Commission (FCC) defines the usage of spectrum allocation explicitly. There is a serious impact on the emerging multi-media applications because it’s unable to use the limited spectrum resource efficiently. Cognitive radio  is a popular technology due to it is based on software to define the wireless sensing echniques. Thus, it is able to enhance the spectrum utility rate evidently. The concept of Cog-nitive Radio is originated from: 1) radio sensing and learning; 2) recognizes and allocates spectrum opportunity ;3) realizes spectrum opportunity. And CR utilizes the intelligent sensing method to acquire the spectrum usage information and environment parameters then chooses the most feasible network or the spectrum reconfigurable network architecture. Therefore the spectrum sensing ability in SDR is extremely important in order to accomplish the goal of digital data communication.