Introduction
The paper examines four peer reviewed journals to understand how good quality are written. An analysis is done with respect to the aims and objectives, results and methodologies used.
Analysis
Seo (et all, 2007) has researches the connection between affective experience and decision-making performance and examines the hypothesis as to whether feelings are good or bad for quick decision-making. The researchers have provided empirical evidence to show that when decision-making is done with a sense of feeling, it leads to better results. The authors report that people who experienced more intense feelings achieved higher decision-making performance.
The authors also report that individuals who were better able to identify and distinguish among their current feelings achieved higher decision making performance via their enhanced ability to control the possible biases induced by those feelings. The authors have performed a good literature review to establish current practices in the field. To examine the dynamics of affective experience and its effects on decision-making in a real-life setting, the authors developed and ran an Internet-based stock investment simulation.
They selected this domain of behaviour because the task of stock investing involves a series of decision-making activities that have clearly observable variations in key dimensions of decision making, such as risk taking. In addition, stock investing allowed them to isolate individual level effects of affective experience from potential group-level, organization-level, and institution level factors that might affect decision-making outcomes. The authors contacted six investment clubs located in the north eastern United States, each with at least 40 members.
Song (et all, 2005) has researched the hypothesis that a firm can leverage the performance impact of existing resources through resource configuration, complementarily, and integration. The authors have investigated the effects on performance of marketing capabilities, technological capabilities, and their complementarily (interaction), and examined if these effects are moderated by low vs. high technological turbulence.
The authors use results from SEM two group to conclude that that both main effects positively impact performance in both environmental contexts. They suggest that their interaction effect is significant only in the high turbulence environment; the marketing-related main effect is lower in the high-turbulence environment and that the main effects of technology-related capabilities are the same in both environments. The researchers suggests that the synergistic performance impact of complementary capabilities can be substantive in particular environmental contexts: while synergistic rents cannot always be obtained, it is possible to leverage existing resources through complementarily.
The hypothesis was tested by using a survey instrument that was mailed to respondents from commercial listing of US Joint Ventures formed between 1990 and 1997 and a total of 466 usable responses where gathered. The respondents consisted of 79 presidents; 214 vice-presidents of marketing or directors for marketing operations; 187 vice-presidents of R&D or manufacturing; and 61 others.
Shook (et all, 2004), have reported that structural equation modelling (SEM) which is a powerful, yet complex, analytical technique can be used to examine strategic management phenomena has increased dramatically in recent years. The authors have performed a critical evaluation of the technique’s implementation and compared the use of SEM in 92 strategic management studies published in nine prominent journals from 1984 to 2002 to guidelines culled from methodological research.
The authors report that the use and reporting of SEM often have been less than ideal, indicating that authors may be drawing erroneous conclusions about relationships among variables. Given these results, the authors offer suggestions for researchers on how to better deploy SEM within future inquiry. The authors offer reviewers and editors a suggested checklist for assessing SEM studies. To enhance knowledge development, gatekeepers should require that authors address all of the issues listed. They also recommend that journals provide vehicles for communicating space consuming details of statistical analyses such as input matrices) to interested readers. The authors conclude by saying that significant opportunities remain for SEM to generate insights within strategic management.
Chin (1993) has provided an opinion on Structural Equation Modelling (SEM). Chin reports that the use of software packages such as LISERL, EQS, AMOS, SEPATH, RAMONA, MX and CALIS have seen increased use in the IS field and a number of submissions using SEM have come up. The authors suggests that SEM has allowed social scientists to perform path analytic modelling with latent variables.
He suggests that when SEM is applied correctly, it has substantial advantages over first generation techniques such as principal component analysis, factor analysis, discriminant analysis and multiple regression. The author suggests that in case of all statistical analyses, clear communication of the SEM study can assist both during the review process and in building a cumulative tradition for the IS field.
Conclusion
The paper has provided an analysis of four peer reviewed journals and examined the way in which the hypothesis is formed, how conclusion is drawn with empirical studies and the different methodologies that can be applied.
References
Chin Wynne W. 1993. Commentary: Issues and Opinion on Structural Equation Modeling. MIS Quarterly.
Song Michael, Droge Cornelia, Hanvanich Sangphet. 2005. Marketing And Technology Resource Complementarity: An Analysis Of Their Interaction Effect In Two Environmental Contexts. Strategic Management Journal. Volume 26. pp: 259–276.
Seo Myeomg-Gu, Barret Feldman Lisa. 2007. Being emotional during decision making—good or bad? An empirical investigation. Academy of Management Journal. Volume 50, Issue 4. pp: 923–940.
Shook Christopher L, Ketchen David J, Hult Tomas, Kacmar Michele K. 2004. An Assessment Of The Use Of Structural Equation Modeling In Strategic Management Research. Strategic Management Journal. Volume 25. pp: 397-404.