Cross-Cultural Management

Cross-Cultural Management in the Construction Industry

Table of Contents

Objectivity or neutrality and subjectivity with transparency3

Reliability or Dependability3

Validity or Authenticity5

Generalisability or Transferability7

Reproducibility or Audit ability7

Cross-Cultural Management in the Construction Industry

Objectivity or neutrality and subjectivity with transparency

In every piece of research, the concept of transparency is one of the most crucial elements, as it functions as a guide for the whole research that is how Cross-Cultural management affecting the Construction Industry. Designing the appropriate objectivity and subjectivity with transparency is a difficult, but essential because it determines a high degree of significance and validity of the research results; any mistakes and omission can lead to the wrong direction and thus adopting the wrong statistical techniques and tools. For transparency of research, research instruments will be used (Platt, 1964, pp. 347-53). There are many research instruments for analyzing a given problem that include an interview, a questionnaire or a set of guidelines for observation. For the purpose of this study, a form of the questionnaire will be used. Moreover, the two survey tools that will utilize are PAPI that are pen and paper assisted personal interviews and CAPI that is computer assisted personal interviews; this CAPI will depend on the availability of the target sample. It is important for the precise results that the participants that are employees also the people who are working abroad. In addition to this, this research study that is the challenges faced by the construction industry in terms of cross-cultural work will base on both primary data and secondary data, to analyze challenges faced by the construction industry (Platt, 1964, pp. 347-53).

Reliability or Dependability

Reliability refers to the consistency of a measure, score, or test. Reliability occurs more often in statistical, quantitative studies and less frequently in qualitative studies (Creswell, 2005; Cooper & Schindler, 2006; Gerrish & Lacey, 2006). Since the world of research with human subjects is not perfect, researchers developed a number of techniques for estimating reliability or the degree of error in measurement (Creswell, 2005; Gerrish & Lacey, 2006). One such technique is called the reliability coefficient, a measure which ranges from r =0 (not reliable) to r =1 (perfect reliability) (Gerrish & Lacey, 2006).

Assessing reliability can be through stability, which relates to the extent to which repeated administration of the instrument produces the same results (Gerrish & Lacey, 2006). Another method is internal consistency, which concerned with the extent to which the items within an instrument measure the variable being investigated (Gerrish & Lacey, 2006). Reliability can also be measured through equivalence (Gerrish & Lacey, 2006), which compares the extent to which two versions of the same paper-and-pencil instrument, or two observations measuring the same event, produce the same result (Gerrish & Lacey, 2006).

For the quantitative part of the proposed study, the questionnaire will undergo a pilot test. Cronbach's Coefficient Alpha (Gerrish & Lacey, 2006) will measure internal consistency for reliability. This measurement will apply to the quantitative instrument questionnaire because the questionnaire will use a Likert-type ...