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CHAPTER 6: Mirror mirror on the wall: A critical examination of the modern PLS and conventional and sem in communication research
No full textCHAPTER 7: The 3 Statistical Problems of Partial Least Squares Path Modeling In Management Research: Myth or Reality?
No full text
The relevancy of strategic thinking in the role of management accounting systems for SME’s survivability: A new conceptual framework
No full textThis paper aims to present a novel conceptual model for long-term survival in the context of Pakistani
SMEs. Researchers have long been interested in uncovering what makes certain entrepreneurs better
to others, particularly in SMEs from emerging economies that are primarily concerned with their own
survivability. Scholarship has revealed that the desire for survival is deeply ingrained in the
owners/managers of SMEs, as a result of which they endeavor to lessen their struggle for survival.
Long-term survival, or sustainable survival, is arguably influenced by strategic thinking. When
discussing the SME context, management accounting research has captured the attention of scholars
due to its significance and application. Management accounting systems provide financial and nonfinancial data that stimulate the cognitive process. Certain management accounting tools, particularly
at the strategic level, include “strategy mapping, analysis of core competencies, long-range and
business planning, risk management, environmental impact assessment, value for money audits, value
engineering or value analysis, competitor analysis”. We have argued in this conceptual paper that
management accounting systems can activate strategic thinking cognitively, thereby enabling SMEs
to sustain themselves in the long run. Thus, it is critical for SMEs to optimize management accounting
systems because they can have a significant impact on their survival. Further, the presence of
management accounting systems can bring robustness in planning, controlling and decision making in
SMEs
The shariah-derived models of medical interactions between healthcare providers and patients
No full textThe Shariah-Derived Models of Medical Interactions between Healthcare Providers and
Patients are models of medical professionals and patient-client relationships constructed and
reviewed from the religious perspective, Islamic jurisprudence in particular. The models were
constructed based on various aspects pertaining to the patient who seeks for the treatment or
consultations, the doctor who provides the medical services or treatment, involvement of a
third party, the form of agreement involving all related parties, and the related Islamic rulings.
The rulings were derived from the five basic rules pertaining to the actions and interactions of
a person (al-ahkam ash-shar'iyyah al-taklifiyyah). The models were classified based on the
profitability of the service rendered, types of contracts involved, as well as the related Islamic
rulings. The relationships are summarized into four models; Model A - Charitable Work/ NonProfit Based, Model B - Profit Based, Model C - Civil Servant, and Model D - Private
Employee/ Practice. Providing medical services is indeed a noble obligation. It involves certain
requirements and principles in relation to the religious rulings that may differ from what are
commonly practiced or understood
Enhanced signal processing using modified cyclic shift tree denoising
No full textThe cortical pyramidal neurons in the cerebral cortex, which are positioned perpendicularly to the
brain’s surface, are assumed to be the primary source of the electroencephalogram (EEG) reading. The
EEG reading generated by the brainstem in response to auditory impulses is known as the Auditory
Brainstem Response (ABR). The identification of wave V in ABR is now regarded as the most efficient
method for audiology testing. The ABR signal is modest in amplitude and is lost in the background noise. The traditional approach of retrieving the underlying wave V, which employs an averaging
methodology, necessitates more attempts. This results in a protracted length of screening time, which
causes the subject discomfort. For the detection of wave V, this paper uses Kalman filtering and Cyclic
Shift Tree Denoising (CSTD). In state space form, we applied Markov process modeling of ABR
dynamics. The Kalman filter, which is optimum in the mean-square sense, is used to estimate the clean
ABRs. To save time and effort, discrete wavelet transform (DWT) coefficients are employed as features
instead of filtering the raw ABR signal. The results show that even with a smaller number of epochs,
the wave is still visible and the morphology of the ABR signal is preserved